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1. CausalCOAT CausalCOAT Public

   [NeurIPS 2024] Discovery of the Hidden World with Large Language Models

   Jupyter Notebook 7 2

2. GMT GMT Public

   [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?

   Python 9 1

3. FeAT FeAT Public

   [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization

   Python 26 1

4. GALA GALA Public

   [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

   Python 21 2

5. PAIR PAIR Public

   [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization

   Jupyter Notebook 52 4

6. CIGA CIGA Public

   [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

   Python 104 11