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# Eason's Deep Learning Codebase | ||
The major structure of this codebase is based on Roger's dl_codebase (https://github.com/RogerQi/dl_codebase). | ||
# Robust Graph Learning | ||
This repository contains source code for the Robust Graph Learning project. | ||
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## Contained Projects: | ||
- Robust Graph Learning on Stochastic Temporal Graphs | ||
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## Data: | ||
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- DBLP | ||
- Enron10 | ||
- Wikipedia: http://snap.stanford.edu/jodie/wikipedia.csv | ||
- Reddit: http://snap.stanford.edu/jodie/reddit.csv | ||
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## Attack: | ||
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## Baseline: | ||
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#### Static GNNs: | ||
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- GAE: https://github.com/DaehanKim/vgae_pytorch | ||
- VGAE: https://github.com/DaehanKim/vgae_pytorch | ||
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#### Discrete Dynamics GNNs: | ||
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- EvolveGCN (EGCN-H, EGCN-O): https://github.com/IBM/EvolveGCN | ||
- Euler: https://github.com/iHeartGraph/Euler | ||
- DySAT: https://github.com/FeiGSSS/DySAT_pytorch | ||
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#### Continuous Dynamics GNN: | ||
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- TGAT: https://github.com/StatsDLMathsRecomSys/Inductive-representation-learning-on-temporal-graphs | ||
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#### Static Defense GNN: | ||
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- Pro-GNN: https://github.com/ChandlerBang/Pro-GNN | ||
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## Summary: | ||
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(table) | ||
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## Usage: | ||
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* xxx: `python xxx -config xxx` |