HaitaoMao / Awesome_Graph_Foundation_ModelsLinks
Accompanied repositories for our paper Graph foundation model
☆227Updated last year
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.☆236Updated last year
- ☆91Updated 2 years ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆251Updated 7 months ago
- ☆186Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆207Updated 10 months ago
- ☆59Updated last year
- Papers about large graph models.☆285Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆120Updated last year
- Must-read papers on graph foundation models (GFMs)☆351Updated 2 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆47Updated 10 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆120Updated 2 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆101Updated last year
- A collection of graph foundation models including papers, codes, and datasets.☆132Updated 4 months ago
- Papers about out-of-distribution generalization on graphs.☆167Updated 2 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆167Updated this week
- A curated list of papers on graph structure learning (GSL).☆50Updated 10 months ago
- List of papers on ICLR 2024☆58Updated last year
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆67Updated last year
- Benchmark☆105Updated last year
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆307Updated 8 months ago
- A Survey of Learning from Graphs with Heterophily☆152Updated 8 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆87Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆263Updated 11 months ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆270Updated 2 years ago
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆136Updated last year
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆64Updated 10 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated 2 years ago
- ☆60Updated 3 years ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆37Updated 6 months ago