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Are there ways of making tutorials for the following topics (in order of complexity):
- Classification tasks (rather than just regression) https://github.com/team-daniel/KAN
- Recommendation Algorit…
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As we are transitioning into a deep learning library, I think we should strongly consider to rename one of our key modules `GraphDefinition` to a less GNN-centric name, e.g. `DataRepresentation`.
@…
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Hi Sisaman:
So happy to see your code about ProGAP. I'm attempting to execute the code, but I encounter errors. Specifically, when the model is set to GNN-DP and the graph convolution layer is either…
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Hello, author. I ran your code on the Tor data set and found that the training acc was 0.98, but the test acc was only 0.65, indicating serious generalization. I would like to ask you to check the con…
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Some models in torchbench raise the following exception and are not reported in cvs report:
```
NotImplementedError: Eager model failed to run
```
Models:
* basic_gnn_edgecnn
```
Ru…
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I think it's a reasonable claim that all graph convolutional networks (GCN) are graph neural networks (GNN), since they operate on graphs, and are NNs. However, there are graph neural networks that do…
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Research on how to generate the heterogeneous graph and use it to generate graph embeddings and use them as the encoding part and decoding part.
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Hi @omri1348, thank you for the insightful work! I was interested in the LRGA module for batches of graphs, e.g. for working with Benchmarking-GNNs datasets in DGL. Have you released the code/have any…
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When I try running the example code with the latest version of pytorch_geometric, I am seeing an error with edge_index and message passing.
Inside GCNConv
` def forward(self, x, edge_index):
…
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Could you provide an example that shows how to perform reinforcement learning with the Graph Convolutions or Graph Attention?