Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD framework.
☆16Jun 24, 2023Updated 2 years ago
Alternatives and similar repositories for LiSA
Users that are interested in LiSA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [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
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆23Aug 25, 2024Updated last year
- ☆14Mar 4, 2022Updated 4 years ago
- ☆58Sep 28, 2022Updated 3 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆208Feb 21, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Nov 4, 2024Updated last year
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆16Jan 27, 2024Updated 2 years ago
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Jan 17, 2023Updated 3 years ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated 2 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Oct 22, 2023Updated 2 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆45Nov 1, 2023Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆66Jun 23, 2023Updated 2 years ago
- ☆16Dec 21, 2023Updated 2 years ago
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆39Sep 23, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆44May 6, 2023Updated 2 years ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆26Dec 1, 2022Updated 3 years ago
- graph neural networks, information theory, AI for Sciences☆23Apr 6, 2022Updated 4 years ago
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆16Jun 27, 2024Updated last year
- Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"☆25Oct 31, 2023Updated 2 years ago
- New structural distributional shifts for evaluating graph models☆16Oct 25, 2023Updated 2 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆22Jun 20, 2023Updated 2 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Apr 12, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆20Apr 10, 2025Updated last year
- Papers about out-of-distribution generalization on graphs.☆168Jun 5, 2023Updated 2 years ago
- Python Code for RGB to YCbCr Convertion☆10Oct 16, 2010Updated 15 years ago
- this is a work about UpliftRec☆10Dec 10, 2024Updated last year
- Official implementation of ICML 2025 paper "Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach"☆12May 27, 2025Updated 10 months ago
- The code of ICLR 2024 paper: Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective☆14May 30, 2024Updated last year
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago
- Codes for "EDG-based Question Decomposition for Complex Question Answering over Knowledge Bases"☆13Nov 12, 2021Updated 4 years ago
- ☆18Apr 30, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆32Oct 13, 2021Updated 4 years ago
- ☆15Aug 30, 2025Updated 7 months ago
- ☆84Oct 28, 2024Updated last year
- Beyond Straight-Through☆110Apr 29, 2023Updated 2 years ago
- ☆15Jan 17, 2020Updated 6 years ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆38May 6, 2022Updated 3 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆96Nov 16, 2023Updated 2 years ago