DGL v0.1 beta release

Deep Graph Library (DGL) v0.1 beta has just been released !!

The library aims to ease deep learning on graphs. Some core features of DGL:

  • Versatile controls over message passing, ranging from low-level operations such as sending along selected edges and receiving on specific nodes, to high-level control such as graph-wide feature updates.
  • Transparent speed optimization with automatic batching of computations and sparse matrix multiplication.
  • Seamless integration with existing deep learning frameworks.
  • Easy and friendly interfaces for node/edge feature access and graph structure manipulation.
  • Good scalability to graphs with tens of millions of vertices.

Feel free to ask anything in this forum. Some helpful resources:

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