HaitaoMao / Awesome_Graph_Foundation_ModelsLinks
Accompanied repositories for our paper Graph foundation model
☆207Updated 7 months ago
Alternatives and similar repositories for Awesome_Graph_Foundation_Models
Users that are interested in Awesome_Graph_Foundation_Models are comparing it to the libraries listed below
Sorting:
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆221Updated last year
- ☆89Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆196Updated 5 months ago
- ☆177Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆232Updated 2 months ago
- Papers about out-of-distribution generalization on graphs.☆166Updated 2 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆116Updated last year
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆122Updated 9 months ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆259Updated 6 months ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆95Updated 7 months ago
- Must-read papers on graph foundation models (GFMs)☆323Updated 2 weeks ago
- Papers about large graph models.☆278Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆198Updated 4 months ago
- ☆60Updated 2 years ago
- A collection of graph foundation models including papers, codes, and datasets.☆62Updated 3 weeks ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- ☆54Updated 9 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆44Updated 6 months ago
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆140Updated 4 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆59Updated 7 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆80Updated last year
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆297Updated 3 months ago
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆157Updated 8 months ago
- A Survey of Learning from Graphs with Heterophily☆142Updated 3 months ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆158Updated last week
- ☆93Updated last year
- Awesome Papers About Performing Prompting On Graphs☆393Updated last month
- 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
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆163Updated last year