Alternatives and similar repositories for LLM4DyG

Users that are interested in LLM4DyG 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.
  ☆226Updated last year
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆83Updated last year
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆32Updated last year
• XiaoxinHe / TAPE
  Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…
  ☆236Updated 3 months ago
• SitaoLuan / LLM4Graph
  ☆180Updated last year
• MingChen-Sun / GPPT
  ☆60Updated 2 years ago
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆328Updated last month
• NineAbyss / GLBench
  The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…
  ☆62Updated 9 months ago
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆102Updated last year
• W-rudder / TEA-GLM
  ☆34Updated 8 months ago
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆33Updated 6 months ago
• JiaruiFeng / TAGLAS
  An atlas of text-attributed graph datasets in the era of large graph and language model.
  ☆57Updated 7 months ago
• Melinda315 / WalkLM
  ☆20Updated last year
• cshhzhao / GCOPE
  Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…
  ☆40Updated 9 months ago
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆211Updated 9 months ago
• Zhuofeng-Li / TEG-Benchmark
  [NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
  ☆40Updated 6 months ago
• CurryTang / Graph-LLM
  Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
  ☆302Updated 5 months ago
• Arthur-Heng / NLGraph
  Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)
  ☆134Updated 11 months ago
• franciscoliu / graphprompter
  Implementation of GraphPrompter (The Web Conference 2024 Short Paper)
  ☆32Updated last year
• HKUDS / GraphST
  [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
  ☆54Updated 7 months ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆55Updated last year
• Tianxzzz / FreeDyG
  Codes for ICLR 2024 paper "FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction"
  ☆31Updated last year
• YuanchenBei / Awesome-Graph-Structure-Learning
  A curated list of papers on graph structure learning (GSL).
  ☆49Updated 7 months ago
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆280Updated last year
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆48Updated 8 months ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆254Updated last year
• zjunet / GraphAdapter
  ☆25Updated last year
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆21Updated 2 years ago
• NYUSHCS / GAugLLM
  Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)
  ☆26Updated last year
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆45Updated 7 months ago