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May 2021
Created a pull request in vrtex-team/pytorch_geometric that received 40 comments
Heterogeneous Graph Storage Layer
An implementation of an in-memory heterogeneous graph storage layer that provides full backward compatibility with torch_geometric.data.Data:
data = …
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Opened 5 other pull requests in 2 repositories
vrtex-team/pytorch_geometric
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rusty1s/pytorch_geometric
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Reviewed 5 pull requests in 2 repositories
vrtex-team/pytorch_geometric 3 pull requests
rusty1s/pytorch_geometric 2 pull requests
Created an issue in vrtex-team/pytorch_geometric that received 1 comment
GitHub Actions GPU Testing
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Opened 22 other issues in 1 repository
vrtex-team/pytorch_geometric
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- GitHub Actions Full Dataset Testing
- Revisit CONTRIBUTING guidelines
- Full Tutorial on Heterogeneous Graph Processing
- Heterogeneous to typed homogeneous graph conversion
- to_hetero_with_bases(model)
- to_hetero(model)
- Revisit MetaPath2Vec to work with new heterogeneous graph storage
- Revisit RGCNConv and FastRGCNConv to work with new heterogeneous graph storage
- Check bipartite GNN layer support of existing operators
- Heterogeneous Graph Transformer Sampler
- Heterogeneous ClusterLoader
- Heterogeneous GraphSAINT Sampler
- Heterogeneous NeighborSampler
- Heterogeneous DataLoader
- Heterogeneous Graph Transformations
- The Open Academic Graph Benchmark Datasets
- Academic Graph Dataset (ACM)
- AMiner Dataset to support new heterogeneous graph format
- InMemoryDataset.collate for heterogeneous graphs
- Heterogeneous Graph Transformer Layer
- HeteroConv
- Gold-Standard GNN Layer
Answered 20 discussions in 1 repository
rusty1s/pytorch_geometric
rusty1s/pytorch_geometric
- Error while running gnn_explainer.py
- Convert dense adjacency matrix to sparse matrix
- Edge attribute dimension with GINEConv
- Replicating RGCN + DistMult for link prediction.
- Modifying mnist_graclus.py for regression
- How to structure data object for multilayer graphs
- Qs about MetaLayer and MessagePassing
- Dataloader for Bipartite Data
- Dataloader for Bipartite Data
- Modifying mnist_graclus.py for regression
- What is Towers in PNAConv?
- Graph embedding network
- GraphSAINT test
- Is there a correct way to use GCNConv layers with no features?
- How does 'graclus' cluster nodes in graphs?
- Create batch from a list of batched graphs
- Adding random nodes for separate graphs in a batch.
- Vectorised way to get graph-level outputs from node features without pooling?
- Scatter extension question
- Why clamp in DenseSageConv?
28
contributions
in private repositories
May 2 – May 27