kaize0409 / Awesome-Graph-OOD
☆68Updated 3 months ago
Alternatives and similar repositories for Awesome-Graph-OOD:
Users that are interested in Awesome-Graph-OOD are comparing it to the libraries listed below
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆111Updated 11 months ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆15Updated 10 months ago
- New structural distributional shifts for evaluating graph models☆16Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆32Updated 3 months ago
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆45Updated 11 months ago
- [NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs☆32Updated last month
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated last year
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- ☆84Updated last year
- A Comprehensive Benchmark for Graph Neural Networks under Label Noise☆17Updated this week
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆70Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆56Updated last year
- A comprehensive benchmark of Imbalanced Graph Learning (Accepted by ICLR 2025)☆1Updated 6 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆107Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆87Updated 8 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆28Updated 3 months ago
- A curated list of papers on graph structure learning (GSL).☆42Updated last month
- A curated list of resources for graph prompting methods☆29Updated last year
- A curated list of papers and resources about multimodal learning on graphs.☆25Updated 2 months ago
- ☆87Updated last year
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆16Updated last year
- ICDE2023-CLDG: Contrastive Learning on Dynamic Graphs☆25Updated 2 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆39Updated 2 months ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆41Updated 3 months ago
- ☆24Updated 2 years ago
- code for kdd feasibiiity☆10Updated last year
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated last year
- [ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类☆24Updated 2 months ago
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆16Updated 6 months ago