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v0.1.0

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@zheng-da zheng-da released this 02 Apr 04:35
· 160 commits to master since this release
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We are happy to announce the first release of DGL-KE, a lightning-speed package for learning knowledge graph embeddings. DGL-KE was previously incubated under the DGL repository. It is now a standalone package with more efficient and more scalable training. The key highlights are:

  • Effortlessly generate knowledge graph embedding with one line of code.
  • Support for giant graphs with millions of nodes and billions of edges for various hardware:
    • multi-CPU machines,
    • multi-GPU machines,
    • a cluster of machines.
  • Support for both Pytorch and MXNet.