Zehong-Wang / Awesome-Foundation-Models-on-GraphsLinks
A collection of graph foundation models including papers, codes, and datasets.
☆151Updated 5 months ago
Alternatives and similar repositories for Awesome-Foundation-Models-on-Graphs
Users that are interested in Awesome-Foundation-Models-on-Graphs are comparing it to the libraries listed below
Sorting:
- Accompanied repositories for our paper Graph foundation model☆229Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆239Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆123Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆101Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆211Updated 11 months ago
- A collection of papers on Graph Structural Learning (GSL)☆57Updated last year
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆68Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆172Updated last month
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆90Updated 2 years ago
- ☆91Updated 2 years ago
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆65Updated 10 months ago
- ☆186Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆104Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆256Updated 8 months ago
- A list of recent papers about Link Prediction.☆116Updated 3 weeks ago
- A curated list of papers on graph structure learning (GSL).☆51Updated 11 months ago
- [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"☆63Updated 5 months ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆65Updated last year
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆65Updated 11 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆48Updated last year
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆145Updated last year
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆57Updated 7 months ago
- ☆56Updated last year
- Must-read papers on graph foundation models (GFMs)☆355Updated 4 months ago
- Published papers focusing on graph domain adaptation, with survey paper online as Domain Adaptation for Graph Representation Learning: Ch…☆52Updated 8 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆44Updated last year
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆27Updated last year
- [NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs☆47Updated 11 months ago
- Papers about out-of-distribution generalization on graphs.☆168Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆154Updated 10 months ago