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”.☆26Oct 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
- The official Implementation for TKDE paper "Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalizatio…☆14Aug 6, 2023Updated 3 years ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆30Mar 11, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- New structural distributional shifts for evaluating graph models☆16Oct 25, 2023Updated 2 years ago
- Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"☆25Oct 31, 2023Updated 2 years ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆27Dec 1, 2022Updated 3 years ago
- Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]☆27Nov 4, 2024Updated last year
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆123Aug 28, 2023Updated 3 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
- [CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments☆13Apr 17, 2025Updated last year
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- The code of ICLR 2024 paper: Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective☆14May 30, 2024Updated 2 years ago
- 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.
- 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
- ☆16Sep 29, 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
- Papers about out-of-distribution generalization on graphs.☆169Jun 5, 2023Updated 3 years ago
- This repository is for the implementation of SGWN.☆14Oct 12, 2024Updated last year
- ICCV 2023☆12May 20, 2024Updated 2 years ago
- M-band Wavelet Network for Anomaly Detection from a Frequency Perspective☆14May 14, 2025Updated last year
- [ECCV 2024] Official Implementation of "Disentangling Masked Autoencoders for Unsupervised Domain Generalization"☆14Jul 31, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Official repository of GLGExplainer (ICLR2023)☆21Jun 7, 2024Updated 2 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆85Jul 27, 2023Updated 3 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆23Jun 20, 2023Updated 3 years ago
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆12Mar 18, 2024Updated 2 years ago
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆19Jan 27, 2024Updated 2 years ago
- [AAAI 2024] G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection☆22Jul 9, 2024Updated 2 years ago
- (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks☆133Jul 15, 2023Updated 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
- Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"☆19Jan 18, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [ICML 2025] Hierarchical Graph Tokenization for Molecule-Language Alignment☆17Aug 18, 2025Updated last year
- ☆16Sep 10, 2023Updated 3 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆16Jun 27, 2024Updated 2 years ago
- ☆85Oct 28, 2024Updated last year
- Official Repository for "Towards Generalizing to Unseen Domains with Few Labels". (CVPR-24)☆24Sep 3, 2024Updated 2 years ago
- graph neural networks, information theory, AI for Sciences☆23Apr 6, 2022Updated 4 years ago
- OOD Dataset Curator and Benchmark for AI-aided Drug Discovery☆174Oct 23, 2022Updated 3 years ago