v0.7.0
This is the release note of v0.7.0. See here for the complete list of solved issues and merged PRs.
Note that this is planned to be the final major release. As announced in chainer blog, further development will be limited to only serious bug-fixes and maintenance.
Highlights
- Graph Conv Neural Network with Sparse pattern is added & SNS dataset is supported to try big sparse graph data training (#398, thanks @knshnb!)
- See blog (Japasene) and slideshare for further information
- MEGNet, CGCNN model is supported (#396, thanks @nd-02110114!)
Changes that break compatibility
- Use shifted softplus in SchNet (#395)
New features
Models
- SparseRelGCN (#398, thanks @knshnb!)
- SparseGIN (#398, thanks @knshnb!)
- GIN with COO matrix (#398, thanks @knshnb!)
- MEGNet (#396, #405, #409, thanks @nd-02110114!)
- CGCNN (#396, #405, thanks @nd-02110114!)
Dataset
- SNS Dataset support is added to try big sparse graph data
- Citation Network: cora, citeseer (#398, #402, thanks @knshnb!)
- Reddit (#398, #402, thanks @knshnb!)
Dataset class
See table below for usage
| Chemical | Network | |
|---|---|---|
| adjacency matrix | NumpyTupleDataset |
PaddingGraphDataset |
| scatter operation | SparseGraphDataset |
SparseGraphDataset |
| sparse matmul | not supported | PaddingGraphDataset (use_coo=True) |
Function
- Add shifted softplus (#395)
- Used in SchNet