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KGE

Some papers on Knowledge Graph Embedding(KGE)

Contents

Libraries

Methodologies

Traditions

Translation

Year Source Methods
2013 NeurIPS TransE
2014 AAAI TransH
2015 AAAI TransR
2015 ACL TransD
2015 EMNLP PTransE
2015 EMNLP RTransE
2015 CIKM KG2E
2016 AAAI TransA
2016 AAAI TranSparse
2016 IJCAI ManifoldE
2016 ACL TransG
2016 KR FTransE
2016 NAACL-HLT lppTransE
2016 NAACL-HLT STransE
2017 AAAI puTransE
2017 ACL ITransF
2017 CIKM TransE-RS
2017 CIKM CombinE
2018 AAAI TorusE
2018 AAAI TransAt
2018 EMNLP TransC
2019 ICLR RotatE
2019 AAAI TransGate
2019 IJCAI TransMS
2019 WSDM CrossE
2020 AAAI HAKE

Multiplication

Year Source Methods
2011 ICML RESCAL
2015 ICLR DistMult
2016 ICML ComplEx
2016 AAAI HolE
2017 ICML ANALOGY
2018 NeurIPS SimplE
2019 ACL DihEdral
2019 EMNLP TuckER

Neural Networks

Year Source Methods
2013 NeurIPS NTN
2014 KDD ER-MLP
2017 AAAI ProjE
2018 AAAI ConvE
2018 CIKM SENN
2018 ESWC R-GCN
2018 NAACL-HLT ConvKB
2018 NAACL-HLT KBGAN
2019 ICML RSN
2019 AAAI SACN
2019 IJCAI VR-GCN
2019 IJCAI M-GNN
2019 ACL KBGAT
2019 WWW ActiveLink
2019 NAACL-HLT CapsE
2019 NAACL-HLT ConvR
2019 K-CAP TransGCN
2020 ICLR CompGCN
2020 ICLR DPMPN
2020 AAAI InteractE

Informations

Path

Year Source Methods
2015 EMNLP PTransE
2015 EMNLP RTransE
2015 EMNLP TransE-COMP
2016 COLING GAKE
2017 EMNLP DeepPath
2017 CIKM TCE
2018 ICLR MINERVA
2018 EMNLP MultiHopKG
2019 ICML RSN
2019 EMNLP OPTransE
2020 AAAI RPJE

Textual

Year Source Methods
2014 EMNLP pTransE
2015 EMNLP Jointly(desp)
2016 AAAI DKRL
2016 IJCAI TEKE
2017 AAAI SSP
2017 IJCAI Jointly(A-LSTM)
2017 ACL FRN
2018 AAAI ConMask
2018 AAAI JointNRE
2018 NAACL-HLT ATE
2019 AAAI OWE
2019 IJCAI WWV
2019 EMNLP CaRe
2019 EMNLP TCVAE
2019 EMNLP CPL

Temporal

Year Source Methods
2014 EMNLP CTPs
2016 EMNLP t-TransE
2016 COLING TransE-TAE
2017 ICML Know-Evolve
2017 AAAI MLNs
2018 WWW TTransE
2018 EMNLP TA-DistMult
2018 EMNLP HyTE
2019 ICLR DyRep
2019 J. Web Semant ConT
2020 ICLR TComplEx
2020 AAAI DE-SimplE

Hierarchy

Year Source Methods
2016 IJCAI TKRL
2016 SIGIR HiRi
2018 AAAI TransE-T
2018 EMNLP TransE-HRS
2020 AAAI HAKE

Taxonomic

Year Source Methods
2019 AAAI SimplE+

Neighborhood

Year Source Methods
2016 NeurIPS Gaifman
2016 COLING GAKE
2017 CIKM TCE
2018 UAI KBLRN
2018 CIKM SENN
2018 ESWC R-GCN
2019 AAAI LENA
2019 AAAI LAN
2019 AAAI SACN
2019 WWW TransN
2019 EMNLP CaRe
2020 AAAI FSRL

Augmentations

Constraints

Year Source Methods
2015 ACL SSE
2018 ACL ComplEx-NNE
2019 AAAI SimplE+

Regularizers

Year Source Methods
2015 ACL SSE
2018 ICML ComplEx-N3
2018 AAAI ComplEx-L1
2019 UAI EM
2020 ICLR Teach

Soft Rules

Year Source Methods
2015 IJCAI r-TransE
2016 IJCAI ProPPR
2016 EMNLP KALE
2017 NeurIPS Neural-LP
2018 NeurIPS GQE
2018 AAAI RUGE
2019 NeurIPS DRUM
2019 AAAI UKGE
2019 IJCAI AnyBURL
2019 WWW IterE
2020 ICLR Neural-LP-N
2020 ICLR Q2B
2020 AAAI RPJE

Negative Sampling

Year Source Methods
2014 AAAI TransH
2018 AAAI IGAN
2018 NAACL-HLT KBGAN
2019 ICLR RotatE
2019 ICDE NSCaching

Emergents

Few Shot

Year Source Methods
2018 EMNLP GMatching
2019 EMNLP MetaR
2019 EMNLP TCVAE
2019 EMNLP Meta-KGR
2020 AAAI FSRL

Hyper Planes

Year Source Methods
2016 ICML ComplEx
2018 AAAI TorusE
2019 NeurIPS QuatE
2019 NeurIPS MuRP
2019 ICLR RotatE
2020 AAAI HAKE

Papers

Survey

  • Yoshua Bengio, Aaron C. Courville, Pascal Vincent. "Representation Learning: A Review and New Perspectives". IEEE Transactions on Pattern Analysis and Machine Intelligence 2013. paper

  • Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich. "A Review of Relational Machine Learning for Knowledge Graphs". Proceedings of the IEEE 2016. paper

  • Quan Wang, Zhendong Mao, Bin Wang, Li Guo. "Knowledge Graph Embedding: A Survey of Approaches and Applications". IEEE Transactions on Knowledge and Data Engineering 2017. paper

  • HongYun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang. "A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications". IEEE Transactions on Knowledge and Data Engineering 2018. paper

  • Xiaojun Chen, Shengbin Jia, Yang Xiang. "A review: Knowledge reasoning over knowledge graph". Expert Systems with Applications 2020. paper

  • Seyed Mehran Kazemi, Rishab Goel, Kshitij Jain, Ivan Kobyzev, Akshay Sethi, Peter Forsyth, Pascal Poupart. "Relational Representation Learning for Dynamic (Knowledge) Graphs: A Survey". arxiv 2019-05. paper

  • Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu. "A Survey on Knowledge Graphs: Representation, Acquisition and Applications". arxiv 2020-02. paper

  • Andrea Rossi, Donatella Firmani, Antonio Matinata, Paolo Merialdo, Denilson Barbosa. "Knowledge Graph Embedding for Link Prediction: A Comparative Analysis". arxiv 2020-02. paper

Journal

2017

  • (ComplEx) Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard. "Knowledge Graph Completion via Complex Tensor Factorization". Journal of Machine Learning Research 2017. paper code

  • (LPMR) Caiyan Dai, Ling Chen, Bin Li, Yun Li. "Link prediction in multi-relational networks based on relational similarity". Information Sciences 2017. paper

  • Lidong Bing, Zhiming Zhang, Wai Lam, William W. Cohen. "Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern". Knowledge-based Systems 2017. paper

  • (TransPES) Yu Wu, Tingting Mu, John Yannis Goulermas. "Translating on pairwise entity space for knowledge graph embedding". Neurocomputing 2017. paper code

  • (SSE) Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo. "SSE: Semantically Smooth Embedding for Knowledge Graphs". IEEE Transactions on Knowledge and Data Engineering 2017. paper

  • (TRANSFER) Xiaochi Wei, Heyan Huang, Liqiang Nie, Hanwang Zhang, Xianling Mao, Tat-Seng Chua. "I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base". IEEE Transactions on Knowledge and Data Engineering 2017. paper code

2018

  • (PaSKoGE) Yantao Jia, Yuanzhuo Wang, Xiaolong Jin, Xueqi Cheng. "Path-specific knowledge graph embedding". Knowledge-based Systems 2018. paper

  • Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, Zenglin Xu. "Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition". Cognitive Computation 2018. paper

2019

  • (TKGE) Binling Nie, Shouqian Sun. "Knowledge graph embedding via reasoning over entities, relations, and text". Future Generation Computer Systems 2019. paper

  • Chengchun Shi, Wenbin Lu, Rui Song. "Determining the Number of Latent Factors in Statistical Multi-Relational Learning". Journal of Machine Learning Research 2019. paper

  • (KEC) Niannian Guan, Dandan Song, Lejian Liao. "Knowledge graph embedding with concepts". Knowledge-based Systems 2019. paper

  • (ProjFE) Huajing Liu, Luyi Bai, Xiangnan Ma, Wenting Yu, Changming Xu. "ProjFE: Prediction of fuzzy entity and relation for knowledge graph completion". Applied Soft Computing 2019. paper

  • (RPE) Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan. "Relation path embedding in knowledge graphs". Neural Computing and Applications 2019. paper

  • Qiannan Zhu, Xiaofei Zhou, Peng Zhang, Yong Shi. "A neural translating general hyperplane for knowledge graph embedding". Journal of Computational Science 2019. paper

  • Ankur Padia, Konstantinos Kalpakis, Francis Ferraro, Tim Finin. "Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization". Journal of Web Semantics 2019. paper code

  • (ConT) Yunpu Ma, Volker Tresp, Erik A. Daxberger. "Embedding models for episodic knowledge graphs". Journal of Web Semantics 2019. paper

  • (AWML) Chenchen Guo, Chunhong Zhang, Xiao Han, Yang Ji. "AWML: adaptive weighted margin learning for knowledge graph embedding". Journal of Intelligent Information Systems 2019. paper

2020

  • Yuanfei Dai, Shiping Wang, Xing Chen, Chaoyang Xu, Wenzhong Guo. "Generative adversarial networks based on Wasserstein distance for knowledge graph embeddings". Knowledge Based Systems 2020. paper

  • Batselem Jagvaral, Wan-Kon Lee, Jae-Seung Roh, Min-Sung Kim, Young-Tack Park. "Path-based reasoning approach for knowledge graph completion using CNN-BiLSTM with attention mechanism". Expert Systems with Applications 2020. paper

  • Jia Zhu, Zetao Zheng, Min Yang, Gabriel Pui Cheong Fung, Yong Tang. "A semi-supervised model for knowledge graph embedding". Data Mining and Knowledge Discovery 2020. paper

Conference

2011

  • (RESCAL) Nickel Maximilian, Tresp Volker, Kriegel Hans-Peter. "A Three-Way Model for Collective Learning on Multi-Relational Data". ICML 2011. paper code

  • (SE) Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio. "Learning Structured Embeddings of Knowledge Bases". AAAI 2011. paper

2012

  • (LFM) Rodolphe Jenatton, Nicolas L. Roux, Antoine Bordes, Guillaume R. Obozinski. "A Latent Factor Model for Highly Multi-relational Data". NIPS 2012. paper

2013

  • (SLM/NTN) Richard Socher, Danqi Chen, Christopher D. Manning, Andrew Y. Ng. "Reasoning With Neural Tensor Networks for Knowledge Base Completion". NIPS 2013. paper reviews

  • (TransE) Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko. "Translating Embeddings for Modeling Multi-relational Data". NIPS 2013. paper reviews

2014

  • (TransH) Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. "Knowledge Graph Embedding by Translating on Hyperplanes". AAAI 2014. paper

  • (ER-MLP) Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang. "Knowledge vault: a web-scale approach to probabilistic knowledge fusion". KDD 2014. paper

  • (pTransE) Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen. "Knowledge Graph and Text Jointly Embedding". EMNLP 2014. paper

  • (CTPs) Derry Tanti Wijaya, Ndapandula Nakashole, Tom M. Mitchell. "CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection". EMNLP 2014. paper

2015

  • (DistMult) Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng. "Embedding Entities and Relations for Learning and Inference in Knowledge Bases". ICLR 2015. paper

  • (TransR/CTransR) Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. "Learning Entity and Relation Embeddings for Knowledge Graph Completion". AAAI 2015. paper code

  • (r-TransE) Quan Wang, Bin Wang, Li Guo. "Knowledge Base Completion Using Embeddings and Rules". IJCAI 2015. paper

  • (SSE) Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo. "Semantically Smooth Knowledge Graph Embedding". ACL 2015. paper

  • (TransD) Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao. "Knowledge Graph Embedding via Dynamic Mapping Matrix". ACL 2015. paper

  • (AMDC) Hiroshi Kajino, Akihiro Kishimoto, Adi Botea, Elizabeth M. Daly, Spyros Kotoulas. "Active Learning for Multi-relational Data Construction". WWW 2015. paper

  • (PTransE) Yankai Lin, Zhiyuan Liu, Huanbo Luan, Maosong Sun, Siwei Rao, Song Liu. "Modeling Relation Paths for Representation Learning of Knowledge Bases". EMNLP 2015. paper code

  • (RTransE) Alberto Garcia-Duran, Antoine Bordes, Nicolas Usunier. "Composing Relationships with Translations". EMNLP 2015. paper

  • Yuanfei Luo, Quan Wang, Bin Wang, Li Guo. "Context-Dependent Knowledge Graph Embedding". EMNLP 2015. paper

  • (Jointly(desp)) Huaping Zhong, Jianwen Zhang, Zhen Wang, Hai Wan, Zheng Chen. "Aligning Knowledge and Text Embeddings by Entity Descriptions". EMNLP 2015. paper

  • (TransE-COMP) Kelvin Guu, John Miller, Percy Liang. "Traversing Knowledge Graphs in Vector Space". EMNLP 2015. paper code

  • Zhuoyu Wei, Jun Zhao, Kang Liu, Zhenyu Qi, Zhengya Sun, Guanhua Tian. "Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances". CIKM 2015. paper

  • (KG2E) Shizhu He, Kang Liu, Guoliang Ji, Jun Zhao. "Learning to Represent Knowledge Graphs with Gaussian Embedding". CIKM 2015. paper

2016

  • (Gaifman) Mathias Niepert. "Discriminative Gaifman Models". NeurIPS 2016. paper reviews

  • (ComplEx) Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, Guillaume Bouchard. "Complex Embeddings for Simple Link Prediction". ICML 2016. paper code

  • (TransA) Yantao Jia, Yuanzhuo Wang, Hailun Lin, Xiaolong Jin, Xueqi Cheng. "Locally Adaptive Translation for Knowledge Graph Embedding". AAAI 2016. paper

  • (HolE) Maximilian Nickel, Lorenzo Rosasco, Tomaso Poggio. "Holographic Embeddings of Knowledge Graphs". AAAI 2016. paper code

  • (TranSparse) Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao. "Knowledge Graph Completion with Adaptive Sparse Transfer Matrix". AAAI 2016. paper

  • (DKRL) Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun. "Representation Learning of Knowledge Graphs with Entity Descriptions". AAAI 2016. paper code

  • (ManifoldE) Han Xiao, Minlie Huang, Xiaoyan Zhu. "From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction". IJCAI 2016. paper code

  • (KR-EAR) Yankai Lin, Zhiyuan Liu, Maosong Sun. "Knowledge Representation Learning with Entities, Attributes and Relations". IJCAI 2016. paper code

  • (TEKE) Zhigang Wang, Juanzi Li. "Text-Enhanced Representation Learning for Knowledge Graph". IJCAI 2016. paper

  • (TKRL) Ruobing Xie, Zhiyuan Liu, Maosong Sun. "Representation Learning of Knowledge Graphs with Hierarchical Types". IJCAI 2016. paper code

  • (ProPPR) William Yang Wang, William W. Cohen. "Learning First-Order Logic Embeddings via Matrix Factorization". IJCAI 2016. paper code

  • Teng Long, Ryan Lowe, Jackie Chi Kit Cheung, Doina Precup. "Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data". ACL 2016. paper

  • (TransG) Han Xiao, Minlie Huang, Xiaoyan Zhu. "TransG: A Generative Model for Knowledge Graph Embedding". ACL 2016. paper code

  • (HiRi) Qiao Liu, Liuyi Jiang, Minghao Han, Yao Liu, Zhiguang Qin. "Hierarchical Random Walk Inference in Knowledge Graphs". SIGIR 2016. paper

  • (KALE) Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo."Jointly Embedding Knowledge Graphs and Logical Rules". EMNLP 2016. paper code

  • (t-TransE) Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui. "Encoding Temporal Information for Time-Aware Link Prediction". EMNLP 2016. paper

  • (GAKE) Jun Feng, Minlie Huang, Yang Yang, Xiaoyan Zhu. "GAKE: Graph Aware Knowledge Embedding". COLING 2016. paper code

  • (TransE-TAE) Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui. "Towards Time-Aware Knowledge Graph Completion". COLING 2016. paper

  • (FTransE) Jun Feng, Minlie Huang, Mingdong Wang, Mantong Zhou, Yu Hao, Xiaoyan Zhu. "Knowledge Graph Embedding by Flexible Translation". KR 2016. paper code

  • (lppTransE) Hee-Geun Yoon, Hyun-Je Song, Seong-Bae Park, Se-Young Park. "A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations". HLT-NAACL 2016. paper

  • (STransE) Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson. "STransE: A Novel Embedding Model of Entities and Relationships in Knowledge Bases". NAACL-HLT 2016. paper code

2017

  • (Neural-LP) Fan Yang, Zhilin Yang, William W. Cohen. "Differentiable Learning of Logical Rules for Knowledge Base Reasoning". NIPS 2017. paper reviews code

  • (ANALOGY) Hanxiao Liu, Yuexin Wu, Yiming Yang. "Analogical Inference for Multi-relational Embeddings". ICML 2017. paper code

  • (Know-Evolve) Rakshit Trivedi, Hanjun Dai, Yichen Wang, Le Song. "Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs". ICML 2017. paper

  • (SSP) Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu. "SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions". AAAI 2017. paper code

  • (ProjE) Baoxu Shi, Tim Weninger. "ProjE: Embedding Projection for Knowledge Graph Completion". AAAI 2017. paper code

  • (puTransE) Yi Tay, Luu Anh Tuan, Siu Cheung Hui. "Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs". AAAI 2017. paper

  • (MLNs) Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch, Heiner Stuckenschmidt. "Marrying Uncertainty and Time in Knowledge Graphs". AAAI 2017. paper

  • (Jointly(A-LSTM)) Jiacheng Xu, Xipeng Qiu, Kan Chen, Xuanjing Huang. "Knowledge Graph Representation with Jointly Structural and Textual Encoding". IJCAI 2017. paper code

  • (IKRL) Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun. "Image-embodied Knowledge Representation Learning". IJCAI 2017. paper code

  • (FRN) Alexandros Komninos, Suresh Manandhar. "Feature-Rich Networks for Knowledge Base Completion". ACL 2017. paper

  • (ITransF) Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard Hovy. "An Interpretable Knowledge Transfer Model for Knowledge Base Completion". ACL 2017. paper

  • Jay Pujara, Eriq Augustine, Lise Getoor. "Sparsity and Noise:Where Knowledge Graph Embeddings Fall Short". EMNLP 2017. paper code

  • (DeepPath) Wenhan Xiong, Thien Hoang, William Yang Wang. "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning". EMNLP 2017. paper

  • (ETE) Changsung Moon, Paul Jones, Nagiza F. Samatova. "Learning Entity Type Embeddings for Knowledge Graph Completion". CIKM 2017. paper

  • Soumajit Pal, Jacopo Urbani. "Enhancing Knowledge Graph Completion By Embedding Correlations". CIKM 2017. paper code

  • (TCE) Jun Shi, Huan Gao, Guilin Qi, Zhangquan Zhou. "Knowledge Graph Embedding with Triple Context". CIKM 2017. paper code

  • (TransE-RS) Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo. "Learning Knowledge Embeddings by Combining Limit-based Scoring Loss". CIKM 2017. paper

  • (CombinE) Zhen Tan, Xiang Zhao, Wei Wang. "Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations". CIKM 2017. paper

  • (RSTE) Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Falk Brauer. "Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction". WSDM 2017. paper

2018

  • (SimplE) Seyed Mehran Kazemi, David Poole. "SimplE Embedding for Link Prediction in Knowledge Graphs". NeurIPS 2018. paper reviews code

  • (GQE) William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec. "Embedding Logical Queries on Knowledge Graphs". NeurIPS 2018. paper reviews code

  • (ComplEx-N3) Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski. "Canonical Tensor Decomposition for Knowledge Base Completion". ICML 2018. paper code

  • (MINERVA) Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum. "Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning". ICLR 2018 paper code

  • Yanjie Wang, Rainer Gemulla, Hui Li. "On Multi-Relational Link Prediction with Bilinear Models". AAAI 2018. paper code

  • (ComplEx-L1) Hitoshi Manabe, Katsuhiko Hayashi, Masashi Shimbo. "Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion". AAAI 2018. paper code

  • (ConvE) Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel. "Convolutional 2D Knowledge Graph Embeddings". AAAI 2018. paper code

  • (TorusE) Takuma Ebisu, Ryutaro Ichise. "TorusE: Knowledge Graph Embedding on a Lie Group". AAAI 2018. paper code

  • (RUGE) Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo. "Knowledge Graph Embedding With Iterative Guidance From Soft Rules". AAAI 2018. paper code

  • (ConMask) Baoxu Shi, Tim Weninger. "Open-World Knowledge Graph Completion". AAAI 2018. paper code

  • (IGAN) Peifeng Wang, Shuangyin Li, Rong Pan. "Incorporating GAN for Negative Sampling in Knowledge Representation Learning". AAAI 2018. paper

  • (CKRL) Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin. "Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence". AAAI 2018. paper code

  • (TransE-T) Richong Zhang, Fanshuang Kong, Chenyue Wang, Yongyi Mao. "Embedding of Hierarchically Typed Knowledge Bases". AAAI 2018. paper code

  • (JointNRE) Xu Han, Zhiyuan Liu, Maosong Sun. "Neural Knowledge Acquisition via Mutual Attention Between Knowledge Graph and Text". AAAI 2018. paper code

  • (TransAt) Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He. "Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism". IJCAI 2018. paper code

  • Ryo Takahashi, Ran Tian, Kentaro Inui. "Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder". ACL 2018. paper code

  • (KG-Geometry) Chandrahas, Aditya Sharma, Partha Talukdar. "Towards Understanding the Geometry of Knowledge Graph Embeddings". ACL 2018. paper code

  • (ComplEx-NNE) Boyang Ding, Quan Wang, Bin Wang, Li Guo. "Improving Knowledge Graph Embedding Using Simple Constraints". ACL 2018. paper code

  • (TransN) Chun-Chih Wang, Pu-Jen Cheng. "Translating Representations of Knowledge Graphs with Neighbors". SIGIR 2018. paper

  • (Max-K Criterion) Jiajie Mei, Richong Zhang, Yongyi Mao, Ting Deng. "On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols". SIGIR 2018. paper

  • (TTransE) Julien Leblay, Melisachew Wudage Chekol. "Deriving Validity Time in Knowledge Graph". WWW 2018. paper

  • (TransE-HRS) Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He. "Knowledge Graph Embedding with Hierarchical Relation Structure". EMNLP 2018. paper

  • (MultiHopKG) Xi Victoria Lin, Richard Socher, Caiming Xiong. "Multi-Hop Knowledge Graph Reasoning with Reward Shaping". EMNLP 2018. paper code

  • (TA-DistMult) Alberto Garcia-Duran, Sebastijan Dumančić, Mathias Niepert. "Learning Sequence Encoders for Temporal Knowledge Graph Completion". EMNLP 2018. paper dataset

  • (HyTE) Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar. "HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding". EMNLP 2018. paper code

  • (TransC) Xin Lv, Lei Hou, Juanzi Li, Zhiyuan Liu. "Differentiating Concepts and Instances for Knowledge Graph Embedding". EMNLP 2018. paper code

  • (MKBE) Pouya Pezeshkpour, Liyan Chen, Sameer Singh. "Embedding Multimodal Relational Data for Knowledge Base Completion". EMNLP 2018. paper code

  • (GMatching) Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang. "One-Shot Relational Learning for Knowledge Graphs". EMNLP 2018. paper code

  • Víctor Gutiérrez-Basulto, Steven Schockaert. "From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the Compatibility between Vector Space Representations and Rules". KR 2018. paper

  • (KBLRN) Alberto García-Durán, Mathias Niepert. "KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features". UAI 2018. paper

  • Farahnaz Akrami, Lingbing Guo, Wei Hu, Chengkai Li. "Re-evaluating Embedding-Based Knowledge Graph Completion Methods". CIKM 2018. paper

  • (SENN) Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng. "Shared Embedding Based Neural Networks for Knowledge Graph Completion". CIKM 2018. paper

  • (MultiE) Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He. "MultiE: Multi-Task Embedding for Knowledge Base Completion". CIKM 2018. paper

  • (CACL) Byungkook Oh, Seungmin Seo, Kyong-Ho. "Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods". CIKM 2018. paper

  • (R-GCN) Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling. "Modeling Relational Data with Graph Convolutional Networks". ESWC 2018. paper code

  • (ConvKB) Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung. "A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network". NAACL-HLT 2018. paper code

  • (KBGAN) Liwei Cai, William Yang Wang. "KBGAN: Adversarial Learning for Knowledge Graph Embeddings". NAACL-HLT 2018. paper code

  • (ATE) Bo An, Bo Chen, Xianpei Han, Le Sun. "Accurate Text-Enhanced Knowledge Graph Representation Learning". NAACL-HLT 2018. paper

2019

  • (QuatE) Shuai Zhangy, Yi Tay, Lina Yao, Qi Liu. "Quaternion Knowledge Graph Embeddings". NeurIPS 2019. paper code

  • (DRUM) Ali Sadeghian, Mohammadreza Armandpour, Patrick Ding, Daisy Zhe Wang. "DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs". NeurIPS 2019. paper code

  • (MuRP) Ivana Balaževic, Carl Allen, Timothy Hospedales. "Multi-relational Poincaré Graph Embeddings". NeurIPS 2019. paper code

  • (RSN) Lingbing Guo, Zequn Sun, Wei Hu. "Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs". ICML 2019. paper code

  • (RotatE) Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang. "RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space". ICLR 2019. paper code

  • (DyRep) Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha. "DyRep: Learning Representations over Dynamic Graphs". ICLR 2019. paper

  • (TransGate) Jun Yuan, Neng Gao, Ji Xiang. "TransGate: Knowledge Graph Embedding with Shared Gate Structure". AAAI 2019. paper

  • (UKGE) Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo. "Embedding Uncertain Knowledge Graphs". AAAI 2019. paper code

  • (SimplE+) Bahare Fatemi, Siamak Ravanbakhsh, David Poole. "Improved Knowledge Graph Embedding Using Background Taxonomic Information". AAAI 2019. paper

  • (LENA) Fanshuang Kong, Richong Zhang, Yongyi Mao, Ting Deng. "LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion". AAAI 2019. paper code

  • (LAN) PeiFeng Wang, Jialong Han, Chenliang Li, Rong Pan. "Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding". AAAI 2019. paper code

  • (SACN) Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou. "End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion". AAAI 2019. paper code

  • (OWE) Haseeb Shah, Johannes Villmow, Adrian Ulges, Ulrich Schwanecke, Faisal Shafait. "An Open-World Extension to Knowledge Graph Completion Models". AAAI 2019. paper code

  • (AnyBURL) Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt. "Anytime Bottom-Up Rule Learning for Knowledge Graph Completion". IJCAI 2019. paper code

  • Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren. "Data Poisoning Attack against Knowledge Graph Embedding". IJCAI 2019. paper

  • (TransMS) Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin. "TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics". IJCAI 2019. paper

  • (WWV) Neil Veira, Brian Keng, Kanchana Padmanabhan, Andreas G. Veneris. "Unsupervised Embedding Enhancements of Knowledge Graphs using Textual Associations". IJCAI 2019. paper code

  • (M-GNN) Zihan Wang, Zhaochun Ren, Chunyu He, Peng Zhang, Yue Hu. "Robust Embedding with Multi-Level Structures for Link Prediction". IJCAI 2019. paper

  • (VR-GCN) Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang. "A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment". IJCAI 2019. paper

  • (KBGAT) Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul. "Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs". ACL 2019. paper code

  • (DihEdral) Canran Xu, Ruijiang Li. "Relation Embedding with Dihedral Group in Knowledge Graph". ACL 2019. paper

  • (JOIE) Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang. "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts". KDD 2019. paper code

  • (NSCaching) Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen. "NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding". ICDE 2019. paper code

  • (MARINE) Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin. "MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes". WWW 2019. paper

  • (NaLP) Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Xueqi Cheng. "Link Prediction on N-ary Relational Data". WWW 2019. paper code

  • (ActiveLink) Natalia Ostapuk, Jie Yang, Philippe Cudré-Mauroux. "ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs". WWW 2019. paper code

  • (IterE) Wen Zhang, Bibek Paudel, Liang Wang, Jiaoyan Chen, Hai Zhu, Wei Zhang, Abraham Bernstein, Huajun Chen. "Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning". WWW 2019. paper code

  • (CaRe) Swapnil Gupta, Sreyash Kenkre, Partha Talukdar. "CaRe: Open Knowledge Graph Embeddings". EMNLP 2019. paper code

  • (MetaR) Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen and Huajun Chen. "Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs". EMNLP 2019. paper code

  • (OPTransE) Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yang Song and Tao Zhang. "Representation Learning with Ordered Relation Paths for Knowledge Graph Completion". EMNLP 2019. paper

  • (TCVAE) Zihao Wang, Kwunping Lai, Piji Li, Lidong Bing and Wai Lam. "Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion". EMNLP 2019. paper

  • (TuckER) Ivana Balazevic, Carl Allen, Timothy M. Hospedales. "TuckER: Tensor Factorization for Knowledge Graph Completion". EMNLP 2019. paper code

  • (JoBi ComplEx) Esma Balkir, Masha Naslidnyk, Dave Palfrey and Arpit Mittal. "Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets". EMNLP 2019. paper

  • (Meta-KGR) Xin Lv, Yuxian Gu, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu. "Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations". EMNLP 2019. paper

  • (CPL) Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren. "Collaborative Policy Learning for Open Knowledge Graph Reasoning". EMNLP 2019. paper

  • (EM) Robert Bamler, Farnood Salehi, Stephan Mandt. "Augmenting and Tuning Knowledge Graph Embeddings". UAI 2019. paper code

  • (CrossE) Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen. "Interaction Embeddings for Prediction and Explanation in Knowledge Graphs". WSDM 2019. paper code

  • Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen. "Knowledge Graph Embedding for Ecotoxicological Effect Prediction". ISWC 2019. paper

  • Simon Gottschalk, Elena Demidova. "HapPenIng: Happen, Predict, Infer - Event Series Completion in a Knowledge Graph". ISWC 2019. paper

  • Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel O?oro-Rubio, David S. Rosenblum. "MMKG: Multi-modal Knowledge Graphs". ESWC 2019. paper

  • (CRIAGE) Pouya Pezeshkpour, Yifan Tian, Sameer Singh. “Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications”. NAACL-HLT 2019. paper code

  • (CapsE) Dai Quoc Nguyen, Thanh Vu, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Q. Phung. "A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization". NAACL-HLT 2019. paper code

  • (ConvR) Xiaotian Jiang, Quan Wang, Bin Wang. "Adaptive Convolution for Multi-Relational Learning". NAACL-HLT 2019. paper

  • (GRank) Takuma Ebisu, Ryutaro Ichise. "Graph Pattern Entity Ranking Model for Knowledge Graph Completion". NAACL-HLT 2019. paper

  • (FFD) Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam. "Fact Discovery from Knowledge Base via Facet Decomposition". NAACL-HLT 2019. paper

  • (TransGCN) Ling Cai, Bo Yan, Gengchen Mai, Krzysztof Janowicz, Rui Zhu. "TransGCN: Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction". K-CAP 2019. paper

  • (ATiSE) Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Jens Lehmann, Hamed Shariat Yazdi. "Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition". arxiv 2019-11. paper

  • Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen. "Relation Adversarial Network for Low Resource Knowledge Graph Completion". arxiv 2019-11. paper

  • Komal K. Teru, Etienne Denis, William L. Hamilton. "Inductive Relation Prediction by Subgraph Reasoning". arxiv 2019-11. paper

  • (S2E) Yongqi Zhang, Quanming Yao, Lei Chen. "Neural Recurrent Structure Search for Knowledge Graph Embedding". arxiv 2019-11. paper

  • (CDC) Bo Peng, Renqiang Min, Xia Ning. "CNN-based Dual-Chain Models for Knowledge Graph Learning". arxiv 2019-11. paper

  • (GC-OTE) Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou. "Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding". arxiv 2019-11. paper

  • (DeCom) Xiang Kong, Xianyang Chen, Eduard H. Hovy. "Decompressing Knowledge Graph Representations for Link Prediction". arxiv 2019-11. paper code

  • Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang. "A Re-evaluation of Knowledge Graph Completion Methods". arxiv 2019-11. paper code

  • (CoKE) Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, Hua Wu. "CoKE: Contextualized Knowledge Graph Embedding". arxiv 2019-11. paper code

  • (KANE) Wenqiang Liu, Hongyun Cai, Xu Cheng, Sifa Xie, Yipeng Yu, Hanyu Zhang. "Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding". arxiv 2019-10. paper

  • Tianxing Wu, Arijit Khan, Huan Gao, Cheng Li. "Efficiently Embedding Dynamic Knowledge Graphs". arxiv 2019-10. paper

  • Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi. "Commonsense Knowledge Base Completion with Structural and Semantic Context". arxiv 2019-10. paper

  • Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao. "Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs". arxiv 2019-10. paper

  • Takuma Ebisu, Ryutaro Ichise. "Combination of Unified Embedding Model and Observed Features for Knowledge Graph Completion". arxiv 2019-09. paper

  • Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Hamed Shariat Yazdi, Jens Lehmann. "Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding". arxiv 2019-09. paper

  • (TransW) Lianbo Ma,Peng Sun, Zhiwei Lin, Hui Wang. ""Composing Knowledge Graph Embeddings via Word Embeddings". aexiv 2019-09. paper

  • (KG-BERT) Liang Yao, Chengsheng Mao, Yuan Luo. "KG-BERT: BERT for Knowledge Graph Completion". arxiv 2019-09. paper code

  • Carl Allen, Ivana Balazevic, Timothy M. Hospedales. "On Understanding Knowledge Graph Representation". arxiv 2019-09. paper

  • (LogicENN) Mojtaba Nayyeri, Chengjin Xu, Jens Lehmann, Hamed Shariat Yazdi. "LogicENN: A Neural Based Knowledge Graphs Embedding Model with Logical Rules". arxiv 2019-08. paper

  • (HyperKG) Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis. "HyperKG: Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion". arxiv 2019-08. paper code

  • Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang. "Meta Reasoning over Knowledge Graphs". arxiv 2019-08. paper

  • (R-MeN) Dai Quoc Nguyen, Tu Dinh Nguyen, Dinh Phung. "Relational Memory-based Knowledge Graph Embedding". arxiv 2019-07. paper

  • (TransEAML) Mojtaba Nayyeri, Xiaotian Zhou, Sahar Vahdati, Hamed Shariat Yazdi, Jens Lehmann. "Adaptive Margin Ranking Loss for Knowledge Graph Embeddings via a Correntropy Objective Function". arxiv 2019-07. paper

  • Alexander Imani Cowen-Rivers, Pasquale Minervini, Tim Rockt?schel, Matko Bosnjak, Sebastian Riedel, Jun Wang. "Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings". arxiv 2019-06. paper

  • Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang. "Cognitive Knowledge Graph Reasoning for One-shot Relational Learning". arxiv 2019-06. paper

  • (MDE) Afshin Sadeghi, Damien Graux, Jens Lehmann. "MDE: Multi Distance Embeddings for Link Prediction in Knowledge Graphs"". arxiv 2019-05. paper

  • Jinkui Yao, Lianghua Xu. "Knowledge Graph Embedding Bi-Vector Models for Symmetric Relation". arxiv 2019-05. paper

  • (TransESM) Mojtaba Nayyeri, Sahar Vahdati, Jens Lehmann, Hamed Shariat Yazdi. "Soft Marginal TransE for Scholarly Knowledge Graph Completion". arxiv 2019-04. paper

  • (AutoKGE) Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen. "AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding". arxiv 2019-04. paper code

  • (RE-Net) Woojeong Jin, Changlin Zhang, Pedro A. Szekely, Xiang Ren. "Recurrent Event Network for Reasoning over Temporal Knowledge Graphs". arxiv 2019-04. paper

  • Sara Morsy, George Karypis. "Sparse Neural Attentive Knowledge-based Models for Grade Prediction". arxiv 2019-04. paper

  • (QCE) Yunpu Ma, Volker Tresp, Liming Zhao, Yuyi Wang. "Variational Quantum Circuit Model for Knowledge Graphs Embedding". arxiv 2019-03. paper

  • Pengwei Wang, Dejing Dou, Fangzhao Wu, Nisansa de Silva, Lianwen Jin. "Logic Rules Powered Knowledge Graph Embedding". arxiv 2019-03. paper

  • Yanjie Wang, Samuel Broscheit, Rainer Gemulla. "A Relational Tucker Decomposition for Multi-Relational Link Prediction". arxiv 2019-02. paper

2020

  • (CompGCN) Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha Talukdar. "Composition-based Multi-Relational Graph Convolutional Networks". ICLR 2020. paper code

  • (Neural-LP-N) Po-Wei Wang, Daria Stepanova, Csaba Domokos, J. Zico Kolter. "Differentiable learning of numerical rules in knowledge graphs". ICLR 2020. paper

  • (Teach) Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla. "You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings". ICLR 2020. paper

  • Pedro Tabacof, Luca Costabello. "Probability Calibration for Knowledge Graph Embedding Models". ICLR 2020. paper

  • Bahare Fatemi, Perouz Taslakian, David Vazquez, David Poole. "Knowledge Hypergraphs: Prediction Beyond Binary Relations". ICLR 2020. paper

  • (TComplEx) Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier. "Tensor Decompositions for Temporal Knowledge Base Completion". ICLR 2020. paper

  • (Q2B) Hongyu Ren, Weihua Hu, Jure Leskovec. "Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings". ICLR 2020. paper

  • (ReifKB) William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler. "Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base". ICLR 2020. paper

  • (DPMPN) Xiaoran Xu, Wei Feng, Yunsheng Jiang, Xiaohui Xie, Zhiqing Sun, Zhi-Hong Deng. "Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning". ICLR 2020. paper

  • (InteractE) Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha Talukdar. "InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions". AAAI 2020. paper code supp

  • (HAKE) Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang. "Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction". AAAI 2020. paper code

  • (FSRL) Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla. "Few-Shot Knowledge Graph Completion". AAAI 2020. paper

  • (RPJE) Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang. "Rule-Guided Compositional Representation Learning on Knowledge Graphs". AAAI 2020. paper

  • (R2D2) Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp. "Reasoning on Knowledge Graphs with Debate Dynamics". AAAI 2020. paper

  • Feihu Che, Dawei Zhang, Jianhua Tao, Mingyue Niu, Bocheng Zhao. "ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion". AAAI 2020

  • (GNTPs) Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette. "Differentiable Reasoning on Large Knowledge Bases and Natural Language". AAAI 2020. paper

  • Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhiping Shi, Hui Xiong, Qing He. "Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion". AAAI 2020

  • Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang. "Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs". AAAI 2020. paper

  • George Stoica, Otilia Stretcu, Anthony Platanios, Tom Mitchell, Barnabas Poczos. "Contextual Parameter Generation for Knowledge Graph Link Prediction". AAAI 2020

  • (DE-SimplE) Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, Pascal Poupart. "Diachronic Embedding for Temporal Knowledge Graph Completion". AAAI 2020. paper code

  • Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi. "Commonsense Knowledge Base Completion with Structural and Semantic Context". AAAI 2020

  • Mehdi Ali, Hajira Jabeen, Charles Tapley Hoyt, Jens Lehmann. "The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability". arxiv 2020-01. paper

  • Caglar Demir, Axel-Cyrille Ngonga Ngomo. "A Physical Embedding Model for Knowledge Graphs". arxiv 2020-01. paper

  • Jiaoyan Chen, Xi Chen, Ian Horrocks, Ernesto Jiménez-Ruiz, Erik B. Myklebust. "Correcting Knowledge Base Assertions". 2020-01. paper

  • Yunpu Ma, Yuyi Wang, Volker Tresp. "Quantum Machine Learning Algorithm for Knowledge Graphs". arxiv 2020-01. paper

Datasets

Standard

Dataset Entity Relation Training Validation Test
WN11 38,696 11 112,581 2,609 10,544
WN18 40,943 18 141,442 5,000 5,000
WN18RR 40,943 11 86,835 3,034 3,134
FB13 75,043 13 316,232 5,908 23,733
FB15K 14,951 1,345 483,142 50,000 59,071
FB166 9,658 166 100,289 10,457 12,327
FB15k-237 14,541 237 272,115 17,535 20,466
UMLS 135 46 5,216 652 661
YAGO3-10 123,182 37 1,079,040 5,000 5,000
NELL-995 75,492 200 123,370 15,000 15,838
NELL-995 75,492 200 149,678 543 3992
Kinship 104 25 8544 1068 1074

Rule

Text

Temporal

Dataset Entities Relations Time Steps Time Span Training Validation Test
ICEWS14 6,869 230 365 2014 72,826 8,941 8,963
ICEWS05-15 10,094 251 4,017 2005-2015 368,962 46,275 46,092
YAGO11k 10,623 10 70 -453-2844 16,408 2,050 2,051
Wikidata12k 12,554 24 81 1709-2018 32,497 4,062 4,062

Performance

Link Prediction

WN18

Year Source Methods MR MRR Hits@1 Hits@3 Hits@10
2013 NeurIPS TransEComplEx - 0.454 0.089 0.823 0.934
2015 ICLR DistMultComplEx 902 0.822 0.728 0.914 0.936
2016 ICML ComplEx - 0.941 0.936 0.945 0.947
2018 AAAI ConvE 504 0.942 0.935 0.947 0.955
2018 ESWC R-GCN+ - 81.9 69.7 92.9 96.4
2018 NeurIPS SimplE - 94.2 93.9 94.4 94.7
2019 ICLR RotatE 309 0.949 0.944 0.952 0.959
2019 ACL D4-STE - 94.6 94.2 94.8 95.2
2019 ACL D4-Gumbel - 94.6 94.2 94.9 95.4
2019 EMNLP TuckER - 0.953 0.949 0.955 0.958

WN18RR

Year Source Methods MR MRR Hits@1 Hits@3 Hits@10
2013 NeurIPS TransEConvKB 3384 0.226 - - 0.501
2015 ICLR DistMultConvE 5110 0.43 0.39 0.44 0.49
2016 ICML ComplExConvE 5261 0.44 0.41 0.46 0.51
2018 AAAI ConvE 5277 0.46 0.39 0.43 0.48
2019 ICLR RotatE 3340 0.476 0.428 0.492 0.571
2019 ACL D4-STE - 48.0 45.2 49.1 53.6
2019 ACL D4-Gumbel - 48.6 44.2 50.5 55.7
2019 EMNLP TuckER - 0.470 0.443 0.482 0.526
2020 AAAI HAKE - 0.497 0.452 0.516 0.582
2020 AAAI InteractE 5203 46.3 43.0 - 52.8

FB15K

Year Source Methods MR MRR Hits@1 Hits@3 Hits@10
2013 NeurIPS TransEComplEx - 0.380 0.231 0.472 0.641
2015 ICLR DistMultComplEx 97 0.654 0.546 0.733 0.824
2016 ICML ComplEx - 0.692 0.599 0.759 0.840
2018 AAAI ConvE 64 0.745 0.670 0.801 0.873
2018 ESWC R-GCN+ - 69.6 60.1 76.0 84.2
2018 NeurIPS SimplE - 72.7 66.0 77.3 83.8
2019 ICLR RotatE 40 0.797 0.746 0.830 0.884
2019 ACL D4-STE - 73.3 64.1 80.3 87.7
2019 ACL D4-Gumbel - 72.8 64.8 78.2 86.4
2019 EMNLP TuckER - 0.795 0.741 0.833 0.892

FB15K-237

Year Source Methods MR MRR Hits@1 Hits@3 Hits@10
2013 NeurIPS TransEConvKB 357 0.294 - - 0.465
2015 ICLR DistMultConvE 254 0.241 0.155 0.263 0.419
2016 ICML ComplExConvE 339 0.247 0.158 0.275 0.428
2018 ESWC R-GCN+ - 24.9 15.1 26.4 41.7
2018 AAAI ConvE 246 0.316 0.239 0.350 0.491
2019 ICLR RotatE 177 0.338 0.241 0.375 0.533
2019 ACL D4-STE - 32.0 23.0 35.3 50.2
2019 ACL D4-Gumbel - 30.0 20.4 33.2 49.6
2019 EMNLP TuckER - 0.358 0.266 0.394 0.544
2020 AAAI HAKE - 0.346 0.250 0.381 0.542
2020 AAAI InteractE 172 35.4 26.3 - 53.5

YAGO3-10

Year Source Methods MR MRR Hits@1 Hits@3 Hits@10
2015 ICLR DistMultConvE 5926 0.34 0.24 0.38 0.54
2016 ICML ComplExConvE 6351 0.36 0.26 0.40 0.55
2018 AAAI ConvE 2792 0.52 0.45 0.56 0.66
2018 ACL ComplEx-N3 - 0.58 - - 0.71
2019 ACL D4-STE - 0.472 0.381 0.523 0.643
2019 ACL D4-Gumbel - 0.388 0.294 0.436 0.573
2019 ICLR RotatE 1767 0.495 0.402 0.550 0.670
2020 AAAI HAKE - 0.545 0.462 0.596 0.694
2020 AAAI InteractE 2375 0.541 0.462 - 0.687
2020 ICLR DPMPN - 0.553 0.484 0.595 0.679

NELL-995

Year Source Methods MR MRR Hits@1 Hits@3 Hits@10
2013 NeurIPS TransE - 0.219 - - 0.352
2015 ICLR DistMult - - 0.610 - 0.795
2015 EMNLP PTransE - 0.304 - - 0.437
2016 ICML ComplEx - - 0.612 - 0.827
2018 AAAI ConvE - - 0.672 - 0.864
2018 AAAI RUGE - 0.318 - - 0.433
2020 AAAI RPJE - 0.361 - - 0.501
2020 ICLR ReifKB - - 0.641 - 0.824

GDELT

Year Source Methods MR MRR Hits@1 Hits@3 Hits@10
2018 EMNLP TA-DistMultDE-SinplE - 0.206 0.124 0.219 0.365
2018 EMNLP HyTEDE-SinplE - 0.118 0.0 0.165 0.326
2020 AAAI DE-SimplE - 0.230 0.141 0.248 0.403

ICEWS14

Year Source Methods MR MRR Hits@1 Hits@3 Hits@10
2018 EMNLP TA-DistMult 276 0.477 0.363 - 0.686
2018 EMNLP HyTEDE-SinplE - 0.297 0.108 0.416 0.655
2020 AAAI DE-SimplE - 0.526 0.418 0.592 0.725
2020 ICLR TNTComplEx - 0.56 0.46 0.61 0.74

ICEWS15-05

Year Source Methods MR MR R Hits@1 Hits@3 Hits@10
2018 EMNLP TA-DistMult 98 0.474 0.346 - 0.728
2018 EMNLP HyTEDE-SinplE - 0.316 0.116 0.445 0.681
2020 AAAI DE-SimplE - 0.513 0.392 0.578 0.748
2020 ICLR TNTComplEx - 0.60 0.50 0.65 0.78

YAGO15K

Year Source Methods MR MRR Hits@1 Hits@3 Hits@10
2018 EMNLP TA-DistMult 551 0.291 0.216 - 0.476
2020 ICLR TNTComplEx - 0.35 0.28 0.35 0.52

WikiDATA

Year Source Methods MR MRR Hits@1 Hits@3 Hits@10
2018 EMNLP TA-DistMult 198 0.700 0.652 - 0.785

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