[Release] DGL v0.4.3 Release

DGL finally comes to the TensorFlow community starting from this release. Switching to TensorFlow is easy. If you are a first-time user, please install DGL and import dgl, and then follow the instructions to set the default backend. You can always switch back by changing the config.json file, which is under ~/.dgl folder. DGL keeps a coherent user experience regardless of which backend is currently in use. The following code demonstrates the basic steps to apply a graph convolution layer.

This is a companion discussion topic for the original entry at https://www.dgl.ai/release/2020/04/01/release.html

The picture for comparing DGL-KE with PyTorch-BigGraph and GraphVite is reversed.

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