[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
☆121Aug 28, 2023Updated 2 years ago
Alternatives and similar repositories for CIGA
Users that are interested in CIGA are comparing it to the libraries listed below
Sorting:
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆207Feb 21, 2025Updated last year
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Nov 4, 2024Updated last year
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆174Feb 19, 2024Updated 2 years ago
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Apr 29, 2024Updated last year
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Nov 24, 2022Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Apr 12, 2024Updated last year
- (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks☆131Jul 15, 2023Updated 2 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆45Nov 13, 2023Updated 2 years ago
- Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'☆43Jan 19, 2024Updated 2 years ago
- OOD Dataset Curator and Benchmark for AI-aided Drug Discovery☆170Oct 23, 2022Updated 3 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Jul 27, 2023Updated 2 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Nov 27, 2023Updated 2 years ago
- Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD fram…☆16Jun 24, 2023Updated 2 years ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆62Feb 16, 2023Updated 3 years ago
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆23Oct 16, 2023Updated 2 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29May 27, 2025Updated 9 months ago
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Nov 6, 2023Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆168Jun 5, 2023Updated 2 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆97Nov 16, 2023Updated 2 years ago
- ☆16Sep 10, 2023Updated 2 years ago
- translation of VHL repo in paddle☆25Jun 28, 2023Updated 2 years ago
- ☆58Sep 28, 2022Updated 3 years ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆33Nov 10, 2023Updated 2 years ago
- New structural distributional shifts for evaluating graph models☆15Oct 25, 2023Updated 2 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆15Jun 27, 2024Updated last year
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆47Mar 27, 2025Updated 11 months ago
- Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"☆11Feb 15, 2022Updated 4 years ago
- Official repository for ICLR'23 paper: Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization☆38Jan 30, 2023Updated 3 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Oct 22, 2023Updated 2 years ago
- This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.☆23Sep 2, 2022Updated 3 years ago
- A list of Graph Causal Learning materials.☆209Jan 24, 2025Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆63Oct 23, 2022Updated 3 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Jun 20, 2023Updated 2 years ago
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆21Dec 23, 2022Updated 3 years ago
- Parameterized Explainer for Graph Neural Network☆142Feb 23, 2024Updated 2 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNs☆50Apr 8, 2024Updated last year
- ☆24Jun 28, 2023Updated 2 years ago
- Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"☆25Oct 31, 2023Updated 2 years ago