v0.1.0
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.