Alternatives and similar repositories for LLM4Graph

Users that are interested in LLM4Graph are comparing it to the libraries listed below

• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆225Updated last year
• XiaoxinHe / TAPE
  Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…
  ☆232Updated 3 months ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆101Updated last year
• CurryTang / Graph-LLM
  Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
  ☆300Updated 4 months ago
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆326Updated 3 weeks ago
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆83Updated last year
• WxxShirley / Awesome-Graph-Prompt
  Awesome Papers About Performing Prompting On Graphs
  ☆397Updated 2 months ago
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆37Updated last year
• W-rudder / TEA-GLM
  ☆33Updated 7 months ago
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆208Updated 8 months ago
• NineAbyss / GLBench
  The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…
  ☆61Updated 8 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆144Updated 4 months ago
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆278Updated last year
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆32Updated 5 months ago
• MingChen-Sun / GPPT
  ☆60Updated 2 years ago
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆44Updated 6 months ago
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆198Updated 6 months ago
• XYGaoG / Graph-Condensation-Papers
  Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.
  ☆44Updated 2 weeks ago
• JiaruiFeng / TAGLAS
  An atlas of text-attributed graph datasets in the era of large graph and language model.
  ☆56Updated 6 months ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆165Updated 2 years ago
• cshhzhao / GCOPE
  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
• franciscoliu / graphprompter
  Implementation of GraphPrompter (The Web Conference 2024 Short Paper)
  ☆32Updated last year
• Starlien95 / GraphPrompt
  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
  ☆158Updated 8 months ago
• WxxShirley / LLMNodeBed
  [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"
  ☆55Updated 2 weeks ago
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆45Updated 7 months ago
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆35Updated 8 months ago
• HKUDS / Awesome-LLM4Graph-Papers
  [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
  ☆327Updated 4 months ago
• zjunet / GraphAdapter
  ☆25Updated last year
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆32Updated 11 months ago
• AndyJZhao / GLEM
  ☆128Updated 3 months ago