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MICCAI 2022 (Oral): Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

brain healthcare miccai2022 graph-neural-networks interpretability-and-explainability

Created 2022-06-28

5 commits to master branch, last one about a year ago

5

34

mit

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Official code of "Discover and Cure: Concept-aware Mitigation of Spurious Correlation" (ICML 2023)

pytorch icml-2023 generalization stable-diffusion data-augmentation spurious-correlation interpretability-and-explainability

Created 2023-03-28

61 commits to master branch, last one 2 months ago

14

33

mit

1

Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks."

causality graph-neural-networks interpretability-and-explainability

Created 2022-03-22

6 commits to main branch, last one 2 years ago

5

32

mit

3

[KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"

Created 2022-05-31

13 commits to main branch, last one 15 days ago