The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS 2023)
☆22Nov 4, 2024Updated last year
Alternatives and similar repositories for LECI
Users that are interested in LECI are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆26Oct 22, 2023Updated 2 years ago
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Oct 23, 2024Updated last year
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆16Nov 6, 2023Updated 2 years ago
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Apr 29, 2024Updated 2 years ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆23Aug 25, 2024Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆22Jan 26, 2023Updated 3 years ago
- The official Implementation for TKDE paper "Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalizatio…☆14Aug 6, 2023Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆211Feb 21, 2025Updated last year
- New structural distributional shifts for evaluating graph models☆16Oct 25, 2023Updated 2 years ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆26Dec 1, 2022Updated 3 years ago
- Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"☆25Oct 31, 2023Updated 2 years ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆30Mar 11, 2024Updated 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 3 years ago
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments☆14Apr 17, 2025Updated last year
- The code of ICLR 2024 paper: Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective☆14May 30, 2024Updated 2 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆38Oct 4, 2023Updated 2 years ago
- Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"☆14Mar 19, 2024Updated 2 years ago
- Code of CVPR 2023 paper Meta-causal Learning for Single Domain Generalization☆22Oct 7, 2023Updated 2 years ago
- 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
- ☆16Sep 29, 2024Updated last year
- Papers about out-of-distribution generalization on graphs.☆169Jun 5, 2023Updated 3 years ago
- Official repository of GLGExplainer (ICLR2023)☆21Jun 7, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆16Nov 29, 2024Updated last year
- [ECCV 2024] Official Implementation of "Disentangling Masked Autoencoders for Unsupervised Domain Generalization"☆14Jul 31, 2024Updated last year
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- ICCV 2023☆11May 20, 2024Updated 2 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
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆12Mar 18, 2024Updated 2 years ago
- PyTorch implementation of paper "StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization" in ICML 2024.☆15Jun 4, 2024Updated 2 years ago
- Official pytorch implementation of Contrastive Single Domain Generalization via Unsupervised Diversity Augmentatio☆11Oct 16, 2024Updated last year
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆22Jun 20, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This repository contains the code of the pulished paper "G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization…☆22Jul 9, 2024Updated last year
- (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks☆134Jul 15, 2023Updated 2 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
- Rethinking Multi-domain Generalization with A General Learning Objective, accepted by cvpr24☆21Nov 18, 2024Updated last year
- Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"☆20Jan 18, 2025Updated last year
- [MSSP] Dual Disentanglement Domain Generalization Method for Rotating Machinery Fault Diagnosis☆35Jul 6, 2025Updated 11 months ago
- ☆16Sep 10, 2023Updated 2 years ago