☆16Sep 10, 2023Updated 2 years ago
Alternatives and similar repositories for AAGOD
Users that are interested in AAGOD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- [NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction☆13Nov 3, 2023Updated 2 years ago
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆12Mar 18, 2024Updated 2 years ago
- ☆10Jun 11, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆210Feb 21, 2025Updated last year
- The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.☆11Feb 10, 2023Updated 3 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Mar 2, 2023Updated 3 years ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Jul 27, 2023Updated 3 years ago
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Oct 1, 2023Updated 2 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆35Feb 20, 2020Updated 6 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
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆175Feb 19, 2024Updated 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
- 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.
- Ratioanle-aware Graph Contrastive Learning codebase☆43Jun 15, 2023Updated 3 years ago
- [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 source code of the experimental evaluation of Deprez et al. (nd)☆11Oct 8, 2025Updated 10 months ago
- Certifiable Robustness to Graph Perturbations☆14May 8, 2020Updated 6 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆22Jan 26, 2023Updated 3 years ago
- Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfe…☆18Jan 27, 2024Updated 2 years ago
- This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.☆23Sep 2, 2022Updated 4 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆123Aug 28, 2023Updated 3 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
- 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.
- a robust metric (robust fidelity) for XGNN (ICLR24)☆12Jun 3, 2025Updated last year
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆23Aug 25, 2024Updated 2 years ago
- This repository contains the code to reproduce experiments presented in the paper "Path Neural Networks: Expressive and Accurate Graph Ne…☆27Jun 28, 2023Updated 3 years ago
- ☆20Sep 16, 2025Updated 11 months ago
- [ACL 2026 SAC Highlight Award] Can We Predict Before Executing Machine Learning Agents?☆24Jul 7, 2026Updated last month
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Jul 18, 2024Updated 2 years ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Jun 15, 2024Updated 2 years ago
- 👋 Lab assignments for Introduction Course of Dian AI Group.☆21Jan 26, 2022Updated 4 years ago
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆54Mar 5, 2024Updated 2 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.
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆69Feb 16, 2025Updated last year
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆26Oct 22, 2023Updated 2 years ago
- ☆21Aug 3, 2021Updated 5 years ago
- 用于学习“从零开始重写sylar C++高性能分布式服务器框架“,添加了很多注解和文档方便学习☆12Feb 28, 2024Updated 2 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆38Mar 2, 2021Updated 5 years ago
- KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning" (ACL 2022 long paper)☆19May 23, 2022Updated 4 years ago
- A python implementation of discrete optimal transport with a Tsallis entropy regularization.☆14Oct 23, 2023Updated 2 years ago