Alternatives and similar repositories for Awesome-Graph-Prompt

Users that are interested in Awesome-Graph-Prompt are comparing it to the libraries listed below

• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆283Updated last year
• CurryTang / Graph-LLM
  Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
  ☆304Updated 7 months ago
• HKUDS / Awesome-LLM4Graph-Papers
  [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
  ☆349Updated 7 months ago
• SitaoLuan / LLM4Graph
  ☆185Updated last year
• XiaoxinHe / TAPE
  Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…
  ☆249Updated 6 months ago
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆345Updated 2 months ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆233Updated last year
• yhLeeee / Awesome-LLMs-in-Graph-tasks
  A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
  ☆630Updated 7 months ago
• Starlien95 / GraphPrompt
  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
  ☆161Updated last year
• alibaba / GraphTranslator
  GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks
  ☆110Updated last year
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆222Updated 11 months ago
• franciscoliu / graphprompter
  Implementation of GraphPrompter (The Web Conference 2024 Short Paper)
  ☆35Updated last year
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆207Updated 9 months ago
• Cloudy1225 / Awesome-Link-Prediction
  A list of recent papers about Link Prediction.
  ☆108Updated last month
• W-rudder / TEA-GLM
  ☆48Updated 11 months ago
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆220Updated last month
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆241Updated 3 months ago
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆70Updated 11 months ago
• HKUDS / GraphEdit
  "GraphEdit: Large Language Models for Graph Structure Learning"
  ☆137Updated last year
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆105Updated last year
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆269Updated 2 years ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆151Updated 8 months ago
• agiresearch / InstructGLM
  Language is All a Graph Needs
  ☆262Updated 7 months ago
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆85Updated last year
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆34Updated 9 months ago
• MingChen-Sun / GPPT
  ☆60Updated 3 years ago
• AndyJZhao / GLEM
  ☆129Updated 6 months ago
• WxxShirley / LLMNodeBed
  [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"
  ☆62Updated 3 months ago
• VITA-Group / LLaGA
  [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
  ☆134Updated last year
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆263Updated 10 months ago