The official Implementation for TKDE paper "Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization"
☆14Aug 6, 2023Updated 3 years ago
Alternatives and similar repositories for GraphOOD
Users that are interested in GraphOOD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for structural temporal graph neural networks for anomaly detection in dynamic graphs☆25Jun 8, 2024Updated 2 years ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆28Dec 1, 2022Updated 3 years ago
- [ICLR 2025] BrainOOD: Out-of-distribution Generalizable Brain Network Analysis☆13Apr 21, 2025Updated 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 3 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
- 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.
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆23Aug 25, 2024Updated 2 years ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆62Jun 3, 2026Updated 4 months ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆86Jul 27, 2023Updated 3 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Jul 18, 2024Updated 2 years ago
- 基于Pytorch框架的中文命名实体识别(NER)模型,包含lstm和Bert两种模型的实现☆14Apr 19, 2022Updated 4 years ago
- ☆32Oct 13, 2021Updated 5 years ago
- graph neural networks, information theory, AI for Sciences☆23Apr 6, 2022Updated 4 years ago
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆26Oct 23, 2024Updated 2 years ago
- DeepSphere for Anomaly Detection☆14May 31, 2019Updated 7 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.
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆44Mar 2, 2023Updated 3 years ago
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆19Jan 27, 2024Updated 2 years ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆16Jun 27, 2024Updated 2 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆106Mar 12, 2024Updated 2 years ago
- Code: Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data (ICML2025)☆13May 9, 2025Updated last year
- Codes for "EDG-based Question Decomposition for Complex Question Answering over Knowledge Bases"☆13Nov 12, 2021Updated 4 years ago
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- ☆16Sep 24, 2025Updated last year
- Official implementation of ICML 2025 paper "Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach"☆12May 27, 2025Updated last year
- 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.
- Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)☆18Oct 6, 2023Updated 3 years ago
- ☆18May 29, 2021Updated 5 years ago
- A python implementation of discrete optimal transport with a Tsallis entropy regularization.☆14Oct 23, 2023Updated 3 years ago
- Code for running experiments and benchmarking on GNNExplainer: Generating Explanations for Graph Neural Networks☆15May 8, 2021Updated 5 years ago
- Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022☆24Jun 3, 2022Updated 4 years ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated 2 years ago
- [NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction☆13Nov 3, 2023Updated 2 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆123Aug 28, 2023Updated 3 years ago
- ☆85Oct 28, 2024Updated 2 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.
- COLING 2022: Dynamic Relevance Graph Network for Knowledge-Aware Question Answering☆13Sep 12, 2022Updated 4 years ago
- [EMNLP24] Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence☆12Oct 24, 2024Updated 2 years ago
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Mar 17, 2024Updated 2 years ago
- [ICML 2025] Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction☆16May 28, 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
- Mutual Information Neural Estimation (Pytorch)☆13Jun 29, 2020Updated 6 years ago
- A survey of graph out-of-distribution detection☆13Oct 23, 2026Updated last week