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PyTorch implementation of GraphSAGE.

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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.

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PyTorch implementation of GraphSAGE.

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  • Python 100.0%