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added renet to readme

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rusty1s committed Apr 15, 2019
1 parent bccbc18 commit 1349f1a7f84fb0eceedb3488dbfb0f0cb0edade3
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@@ -161,6 +161,7 @@ In detail, the following methods are currently implemented:
* **[Top-K Pooling](https://rusty1s.github.io/pytorch_geometric/build/html/modules/nn.html#torch_geometric.nn.pool.TopKPooling)** from Gao and Ji: [Graph U-Net](https://openreview.net/forum?id=HJePRoAct7) (ICLR 2019 submission) and Cangea *et al.*: [Towards Sparse Hierarchical Graph Classifiers](https://arxiv.org/abs/1811.01287) (NeurIPS-W 2018)
* **[Local Degree Profile](https://rusty1s.github.io/pytorch_geometric/build/html/modules/nn.html#torch_geometric.transforms.LocalDegreeProfile)** from Cai and Wang: [A Simple yet Effective Baseline for Non-attribute Graph Classification](https://arxiv.org/abs/1811.03508) (CoRR 2018)
* All variants of **[Graph Auto-Encoders](https://rusty1s.github.io/pytorch_geometric/build/html/modules/nn.html#torch_geometric.nn.models.GAE)** from Kipf and Welling: [Variational Graph Auto-Encoders](https://arxiv.org/abs/1611.07308) (NIPS-W 2016) and Pan *et al.*: [Adversarially Regularized Graph Autoencoder for Graph Embedding](https://arxiv.org/abs/1802.04407) (IJCAI 2018)
* **[RENet](https://rusty1s.github.io/pytorch_geometric/build/html/modules/nn.html#torch_geometric.nn.models.RENet)** from Jin *et al.*: [Recurrent Event Network for Reasoning over Temporal Knowledge Graphs](https://arxiv.org/abs/1904.05530) (ICLR-W 2019)
* Example of **[Deep Graph Infomax on Cora](https://github.com/rusty1s/pytorch_geometric/tree/master/examples/infomax.py)** from Veličković *et al.*: [Deep Graph Infomax](https://arxiv.org/abs/1809.10341) (ICLR 2019)
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