CogDL v0.4.0

A new major release! 🎉🎉🎉
The new v0.4.0 release refactors the data storage (from Data to Graph) and provides more fast operators to speed up GNN training. It also includes many self-supervised learning methods on graphs. BTW, we are glad to announce that we will give a tutorial on KDD 2021 in August. Please see this link for more details. 🎉

New Features

• Reformat Data Storage (from Data to Graph), edge_index from torch.Tensor to tuple(Tensor, Tensor). The inputs of each GNN are unified as one parameter graph.
• #205 #210 #212 Add SDDMM operator
• #234 Add multi-head SpMM operator and speed up edge_softmax.
• #211 #222 Support distributed training

New Models

• #207 Add MoEGNN Model
• #213 #220 OAG-Bert (Chinese versions)
• #217 #235 Add self-supervised models

New Datasets

• #226 Add ogbn-mag dataset

New Examples

• #233 Add Simple-HGN model

Bug Fixes

• #209 Fix STPGNN and heterogeneous task
• #225 Fix TUDataset