1.3.1
This is a minor release which is mostly distributed for official PyTorch 1.2 support. In addition, it provides minor bugfixes and the following new features:
Modules
- Non-normalized
ChebConvin combination with a largest eigenvalue transform TAGCN- Graph U-Net
Node2VecEdgePooling- Alternative
GMMConvformulation with separate kernels - Alternative Top-K pooling formulation based on thresholds with examples on synthetic
COLORSandTRIANGLESdatasets
Datasets
- Pascal VOC 2011 with Berkeley keypoint annotations (
PascalVOCKeypoints) DBP15KdatasetWILLOWObjectClassdataset
Please also update related external packages via, e.g.:
$ pip install --upgrade torch-cluster