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README.md

@@ -280,6 +280,7 @@ Unlike simple stacking of GNN layers, these models could involve pre-processing,
 - **[DistMult](https://pytorch-geometric.readthedocs.io/en/latest/generated/torch_geometric.nn.kge.DistMult.html)** from Yang *et al.*: [Embedding Entities and Relations for Learning and Inference in Knowledge Bases](https://arxiv.org/abs/1412.6575) (ICLR 2015) \[[**Example**](https://github.com/pyg-team/pytorch_geometric/blob/master/examples/kge_fb15k_237.py)\]
 - **[RotatE](https://pytorch-geometric.readthedocs.io/en/latest/generated/torch_geometric.nn.kge.RotatE.html)** from Sun *et al.*: [RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space](https://arxiv.org/abs/1902.10197) (ICLR 2019) \[[**Example**](https://github.com/pyg-team/pytorch_geometric/blob/master/examples/kge_fb15k_237.py)\]
 - **[TransF](https://pytorch-geometric.readthedocs.io/en/latest/generated/torch_geometric.nn.kge.TransF.html)** from Ji *et al.*: [Knowledge Graph Embedding by Flexible Translation](https://cdn.aaai.org/ocs/12887/12887-57589-1-PB.pdf) (ACL 2015) \[[**Example**](https://github.com/pyg-team/pytorch_geometric/blob/master/examples/kge_fb15k_237.py)\]
+
 </details>
 
 **GNN operators and utilities:**

test/nn/kge/test_transf.py

@@ -22,4 +22,4 @@ def test_transf():
         mean_rank, mrr, hits = model.test(h, r, t, batch_size=5, log=False)
         assert 0 <= mean_rank <= 10
         assert 0 < mrr <= 1
-        assert hits == 1.0
+        assert hits == 1.0

torch_geometric/nn/kge/__init__.py

@@ -8,10 +8,5 @@
 from .transf import TransF
 
 __all__ = classes = [
-    'KGEModel',
-    'TransE',
-    'ComplEx',
-    'DistMult',
-    'RotatE',
-    'TransF'
+    'KGEModel', 'TransE', 'ComplEx', 'DistMult', 'RotatE', 'TransF'
 ]

torch_geometric/nn/kge/transf.py

@@ -6,6 +6,7 @@
 
 from torch_geometric.nn.kge import KGEModel
 
+
 class TransF(KGEModel):
     r"""The TransF model from the "Knowledge Graph Embedding by Flexible Translation"
     paper.