New Release of DGL v0.8

One of the most prominent libraries for graph machine learning, DGL, has recently released an updated v0.8 with new features as well as improvement on system performance. The highlights are:

- A major update of the mini-batch sampling pipeline.
- Significant acceleration and code simplification of heterogeneous GNNs and link-prediction models.
- GNNLens: a DGL empowered tool for GNN explanability.
- New functions to create, transform and augment graph datasets, e.g. in graph contrastive learning or repurposing a graph for different tasks.
- DGL-Go: a new GNN model training command line tool for quick experiments with SOTA models.

https://www.dgl.ai/release/2022/03/01/release.html