New structural distributional shifts for evaluating graph models
☆15Oct 25, 2023Updated 2 years ago
Alternatives and similar repositories for structural-graph-shifts
Users that are interested in structural-graph-shifts are comparing it to the libraries listed below
Sorting:
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Nov 4, 2024Updated last year
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Jun 20, 2023Updated 2 years ago
- ☆12Jul 17, 2023Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆207Feb 21, 2025Updated last year
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 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
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆45Nov 13, 2023Updated 2 years ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆121Mar 7, 2023Updated 3 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆25Jul 18, 2023Updated 2 years ago
- Efficient empirical NTKs in PyTorch☆22Jun 13, 2022Updated 3 years ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆22Aug 25, 2024Updated last year
- Pytorch implementation of EvenNet.☆20Oct 25, 2022Updated 3 years ago
- ☆29Mar 1, 2024Updated 2 years ago
- graph neural networks, information theory, AI for Sciences☆23Apr 6, 2022Updated 3 years ago
- Python library for training, evaluating, using deep learning for industrial monitoring tasks.☆10Sep 26, 2024Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆62Feb 16, 2023Updated 3 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Oct 22, 2023Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆168Jun 5, 2023Updated 2 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆121Aug 28, 2023Updated 2 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Aug 26, 2025Updated 6 months ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Jun 28, 2023Updated 2 years ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆33Nov 10, 2023Updated 2 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆35Apr 2, 2022Updated 3 years ago
- Official Repo for the NeurIPS2024 spotlight paper "Are Graph Neural Networks Optimal Approximation Algorithms?"☆14May 22, 2024Updated last year
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Jul 27, 2023Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆40Mar 16, 2024Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Nov 2, 2023Updated 2 years ago
- [DMLR 2024] Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift☆38Jan 25, 2024Updated 2 years ago
- ☆12Jul 4, 2024Updated last year
- GeoViz: A Multi-View Visual Platform for Spatio-temporal Knowledge Graph☆13May 13, 2024Updated last year
- Source code for NeurIPS 2019 paper "Learning Latent Processes from High-Dimensional Event Sequences via Efficient Sampling""☆10Mar 20, 2021Updated 4 years ago
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆47Mar 27, 2025Updated 11 months ago
- ☆13Jul 24, 2025Updated 7 months ago
- Meta-Reinforcement Learning with Policy Residual Representation☆11Aug 15, 2019Updated 6 years ago
- OOD Dataset Curator and Benchmark for AI-aided Drug Discovery☆170Oct 23, 2022Updated 3 years ago
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Jan 17, 2023Updated 3 years ago
- ☆12Oct 5, 2022Updated 3 years ago
- The source code of "Empowering Language Understanding with Counterfactual Reasoning" (ACL'21)☆11Sep 3, 2021Updated 4 years ago
- A Controllable Model of Grounded Response Generation (AAAI 21)☆13Oct 25, 2022Updated 3 years ago