invariant-learning topic
DIR-GNN
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
CIGA
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
GOOD
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
PAIR
[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
KGRec
[KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
MorphoSymm
Tools for exploiting Morphological Symmetries in robotics
RGCL
Ratioanle-aware Graph Contrastive Learning codebase
IGV
This repo contains code for Invariant Grounding for Video Question Answering
FeAT
[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
GALA
[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?