GraphSAGE
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PyTorch implementation of GraphSAGE.
GraphSAGE
This is a PyTorch implementation of GraphSAGE from the paper Inductive Representation Learning on Large Graphs.
Usage
In the src directory, edit the config.json file to specify arguments and
flags. Then run python main.py.
Limitations
- Currently, only supports the Cora dataset. However, for a new dataset it should be fairly straightforward to write a Dataset class similar to
datasets.Cora.
References
- Inductive Representation Learning on Large Graphs, Hamilton et al., NeurIPS 2017.
- Collective Classification in Network Data, Sen et al., AI Magazine 2008.