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Releases: benedekrozemberczki/pytorch_geometric_temporal

0.54.0. Simplify test environment and installation

04 Sep 16:37
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Full Changelog: v0.53.0...v0.54.0

HeteroGCLSTM Fixes and Improvements

12 Jul 16:35
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  • 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

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Full Changelog: v0.52.0...v0.53.0

v0.52.0 Minor fixes and data iterator extensions

04 Apr 19:21
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v0.51.0 Minor fixes and data class extensions

10 Feb 23:10
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Full Changelog: v0.50.0...v0.51.0

Moving to PyG 2.0 and PyTorch 1.10.0 🚀 🛸 🚁

19 Jan 22:38
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  • 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 🚀 🛸 🚁

31 Dec 11:06
204d71f
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  • 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

11 Sep 12:03
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  • Evolve GCN-O Fix of Weight Updates
  • Evolve GCN-H Fix of Weight Updates

GMAN hyperparameter move out

04 Aug 20:01
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  • GMAN move out - hyperparameters are not fixed.

Adding Predicting Temporal Sets with Deep Neural Networks

25 Jul 10:41
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  • 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

13 Jul 21:33
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  • 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