Popular GitHub Repositories for Out Of Distribution

[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua.

OOD Generalization and Detection (ACL 2020)

[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"

Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)

OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024

Domain generalization benchmark for skin lesion recognition, MICCAI 2023

[NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He.

Repository for the paper "Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey"

[WWW'25]The official implementation of Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation

Code for the control+shift paper, where a method for generating general datasets with a controllable amount of distribution shift was proposed. Presented at the ECCV'24 "Synthetic Data for Computer Vision" workshop.

Project Page (ObjectDR)