Releases: benedekrozemberczki/pytorch_geometric_temporal
Releases · benedekrozemberczki/pytorch_geometric_temporal
0.54.0. Simplify test environment and installation
What's Changed
- Remove setup.py test (deprecated) by @jamesmyatt in #182
- Make tqdm an optional dependency by @jamesmyatt in #188
- Remove torch-scatter from mandatory dependencies by @jamesmyatt in #191
- Update installation instructions for PyTorch 1.11.0 and PyG latest by @jamesmyatt in #192
- Remove scipy from mandatory dependencies (not used) by @jamesmyatt in #190
- change on _set_hidden_state() by @h3dema in #187
New Contributors
- @jamesmyatt made their first contribution in #182
- @h3dema made their first contribution in #187
Full Changelog: v0.53.0...v0.54.0
HeteroGCLSTM Fixes and Improvements
What's Changed
- remove unused parameters and variables for MPNNLSTM by @SherylHYX in #154
- Support for slicing signals by @gfngoncalves in #160
- Change dicts in hetero_gc_lstm to nn.ParameterDicts by @xunil17 in #180
- Optimize code to prevent repeated calls to convolution operator by @xunil17 in #181
New Contributors
- @gfngoncalves made their first contribution in #160
- @xunil17 made their first contribution in #180
Full Changelog: v0.52.0...v0.53.0
v0.52.0 Minor fixes and data iterator extensions
What's Changed
- Hetero support by @doGregor in #142
- Fixed Montevideo Bus dataset by @dtortorella in #147
- Matrix multiplication bug fixed by @doGregor in #148
- Fixed lambda_max error when normalization != sym by @gravins in #150
New Contributors
Full Changelog: v0.51.0...v0.52.0
v0.51.0 Minor fixes and data class extensions
What's Changed
- Temporal signal split fix by @tforgaard in #129
- Refactor getitem by @josephenguehard in #133
- First commit for heterogeneous graph support by @doGregor in #125
- Fix an error in documentation for TGCN cell. by @BraveDistribution in #136
New Contributors
- @tforgaard made their first contribution in #129
- @josephenguehard made their first contribution in #133
- @doGregor made their first contribution in #125
- @BraveDistribution made their first contribution in #136
Full Changelog: v0.50.0...v0.51.0
Moving to PyG 2.0 and PyTorch 1.10.0 🚀 🛸 🚁
- Removed coupling to PyG 1.7.0
- Removed coupling to PyTorch 1.7.
- DevOps updated
- Documentation and Installation guide updated
Model and data iterator improvements 🚀 🛸 🚁
What's Changed
- Feature extension: Additional named attributes in Signal/Batch objects by @Flunzmas 🤖
- Fixed EvolveGCN weight squeezing by @dtortorella 🌃
- Updated the A3TGCN_example by @poteman 🎇
- Make attention trainable in A3TGCN and make it support batches by @elmahyai 🌄
Evolve GCN Variants Fix
- Evolve GCN-O Fix of Weight Updates
- Evolve GCN-H Fix of Weight Updates
GMAN hyperparameter move out
- GMAN move out - hyperparameters are not fixed.
Adding Predicting Temporal Sets with Deep Neural Networks
- Added DNNTSP from Predicting Temporal Sets with Deep Neural Networks (KDD 2020).
- Added tests for DNNTSP.
- DNNTSP Docs.
- Updated the README.md.
Detailed case study like examples for every recurrent models
- LRGCN Case Study
- A3TGCN Case Study
- TGCN Case Study
- DCRNN Case Study
- GCLSTM Case Study
- GConvGRU Case Study
- GConvLSTM Case Study
- AGCRN Case Study
- MPNN LSTM Case Study
- EvolveGCNO Case Study
- EvolveGCNH Case Study