v0.7.1 release

This is the release note of v0.7.1.

Highlights

The paper, “Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks” official implementation (#422, thanks @k-ishiguro !)

• Paper link: https://arxiv.org/abs/2006.06909
• Example: https://github.com/chainer/chainer-chemistry/tree/v0.7.1/examples/molnet_wle

New features

Data

• WLE (Weisfeiler-Lehman Embedding) preprocessing support (#422)
• DeepChemScaffoldSplitter (#422)

Models

• Neural Network implementations for WLE, CWLE, GWLE (#422)

Examples

• molnet_wle (#422)