HaitaoMao / Awesome_Graph_Foundation_Models
Accompanied repositories for our paper Graph foundation model
☆192Updated 4 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
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆205Updated 10 months ago
- ☆87Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆189Updated 2 months ago
- ☆170Updated 11 months ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆220Updated 9 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆111Updated 2 years ago
- Must-read papers on graph foundation models (GFMs)☆299Updated last week
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆55Updated 4 months ago
- ☆90Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆245Updated 3 months ago
- List of papers on ICLR 2024☆56Updated last year
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆99Updated 6 months ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆86Updated 4 months ago
- Papers about large graph models.☆277Updated last year
- Papers about out-of-distribution generalization on graphs.☆166Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆112Updated last year
- Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)☆119Updated 7 months ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆192Updated last month
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- ☆126Updated last year
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆152Updated 4 months ago
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆127Updated last month
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆227Updated last year
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆281Updated 2 weeks ago
- ☆53Updated 5 months ago
- ☆57Updated 2 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆74Updated last year
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆153Updated last year
- Awesome Papers About Performing Prompting On Graphs☆374Updated last month
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆143Updated 2 weeks ago