kaize0409 / Awesome-Graph-OODLinks
☆78Updated 8 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
Sorting:
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆118Updated last year
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆125Updated 10 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆39Updated 8 months ago
- PyGDA is a Python library for Graph Domain Adaptation☆61Updated 4 months ago
- [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"☆55Updated 2 weeks ago
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆50Updated 4 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆83Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆44Updated 6 months ago
- ☆93Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆165Updated 2 years ago
- ☆178Updated last year
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆48Updated last month
- ☆89Updated last year
- Accompanied repositories for our paper Graph foundation model☆208Updated 8 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆61Updated 8 months ago
- A curated list of papers on graph structure learning (GSL).☆49Updated 6 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆225Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- ☆24Updated 7 months ago
- ☆33Updated 7 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆32Updated 11 months ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated last year
- ☆58Updated 8 months ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆91Updated last month
- [NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".☆28Updated 5 months ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆233Updated 3 months ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆159Updated 2 weeks ago
- Awesome literature on imbalanced learning on graphs☆75Updated 10 months ago
- [NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs☆40Updated 6 months ago