fani-lab / fani-lab/SEERa

Trying different graph embedding packages

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Description

This page is created to share our experience using various Python libraries for temporal graph embedding. We will be adding comments for each library, and will update them gradually. Currently, we are considering the following libraries:

- **[EvolveGCN](https://github.com/IBM/EvolveGCN)** (IBM - _AAAI 2020_)
- **[tdGraphEmbed](https://github.com/moranbel/tdGraphEmbed)** (_CIKM 2020_)
- **[DynG2G](https://github.com/GraceXu182/DynG2G)** (_IEEE Transactions on Neural Networks and Learning Systems 2022_)
- **[TGN](https://github.com/twitter-research/tgn)**: Temporal Graph Networks (Twitter Research - _ICML 2020_)
- **[PyTorch Geometric Temporal](https://github.com/pyg-team/pytorch_geometric)** (_CIKM 2021_)

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