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Dec 12, 2021
| @@ -25,7 +25,7 @@ federated learning on graph, especially on graph neural networks (GNNs), knowled | |||
| 7. \[Arxiv 2021\] **FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search.** [paper](https://arxiv.org/pdf/2104.04141) | |||
| 8. \[CVPR 2021\] **Cluster-driven Graph Federated Learning over Multiple Domains.** [paper](https://arxiv.org/pdf/2104.14628) | |||
| 9. \[Arxiv 2021\] **FedGL: Federated Graph Learning Framework with Global Self-Supervision.** [paper](https://arxiv.org/pdf/2105.03170) | |||
| 10. \[AAAI 2022\] **SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks.** [paper](https://arxiv.org/pdf/2106.02743) | |||
| 10. \[AAAI 2022\] **SpreadGNN: Decentralized Multi-Task Federated Learning forGraph Neural Networks on Molecular Data.** [paper](https://arxiv.org/pdf/2106.02743) [code](https://github.com/FedML-AI/SpreadGNN) | |||
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