[NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
☆23Aug 25, 2024Updated last year
Alternatives and similar repositories for GALA
Users that are interested in GALA 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
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Nov 4, 2024Updated last year
- 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
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆209Feb 21, 2025Updated 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.
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Feb 16, 2023Updated 3 years ago
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆24Oct 16, 2023Updated 2 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
- ☆11Mar 8, 2024Updated 2 years ago
- Code for paper "Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation" (TKDE 2023)☆16Dec 4, 2025Updated 6 months ago
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Jan 17, 2023Updated 3 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆54Apr 12, 2024Updated 2 years ago
- ☆11Mar 20, 2023Updated 3 years ago
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Oct 23, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Papers about out-of-distribution generalization on graphs.☆169Jun 5, 2023Updated 3 years ago
- [NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction☆13Nov 3, 2023Updated 2 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29May 27, 2025Updated last year
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆16Jun 27, 2024Updated last year
- Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference☆19Sep 8, 2019Updated 6 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
- Code of the paper "Neighborhood Contrastive Learning Applied to Online Patient Monitoring"☆23Mar 30, 2023Updated 3 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆49Jun 25, 2023Updated 2 years ago
- [CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments☆14Apr 17, 2025Updated last year
- 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.
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆25May 31, 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
- InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery (COLING 2025)☆54Dec 2, 2024Updated last year
- The official codes of Rethinking Knowledge Graph Evaluation Under the Open-World Assumption (NeurIPS 2022)☆24Sep 20, 2022Updated 3 years ago
- New structural distributional shifts for evaluating graph models☆16Oct 25, 2023Updated 2 years ago
- (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks☆134Jul 15, 2023Updated 2 years ago
- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆20Oct 14, 2022Updated 3 years ago
- This github contains the implementation of the method proposed in MDGNN_BS paper☆12May 9, 2024Updated 2 years ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆26Dec 1, 2022Updated 3 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.
- Experiments for "A Closer Look at In-Context Learning under Distribution Shifts"☆18May 29, 2023Updated 3 years ago
- ☆85Oct 28, 2024Updated last year
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆22Jan 26, 2023Updated 3 years ago
- Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.☆31Dec 27, 2020Updated 5 years ago
- A "symptoms -disease- prescription" dataset based on TCM textbooks was constructed. The dataset contains 343 categories of diseases,inclu…☆13Oct 27, 2022Updated 3 years ago
- Python Code for RGB to YCbCr Convertion☆10Oct 16, 2010Updated 15 years ago
- Data and code required to reach the main conclusions of the fastsmcg paper☆10Sep 19, 2023Updated 2 years ago