Popular GitHub Repositories for Out Of Distribution Generalization

Codes and datasets for NeurIPS21 paper “Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach”

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

Papers about out-of-distribution generalization on graphs.

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

The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"

Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”

Code for ICML21 spotlight paper "Towards open-world recommendation: An inductive model-based collaborative filtering approach"

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

The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS 2023)