Alternatives and similar repositories for CS224W-Winter2023

Users that are interested in CS224W-Winter2023 are comparing it to the libraries listed below

• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆328Updated last month
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆240Updated last week
• PolarisRisingWar / cs224w-2021-winter-colab
  cs224w（图机器学习）2021冬季课程的colab
  ☆240Updated 4 years ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆226Updated last year
• SitaoLuan / LLM4Graph
  ☆180Updated last year
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆280Updated 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
• Newiz430 / Pretext
  Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"
  ☆35Updated 3 months ago
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆205Updated last month
• OpenGSL / OpenGSL
  ☆178Updated 7 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆145Updated 5 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
• 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
• Cloudy1225 / Awesome-Link-Prediction
  A list of recent papers about Link Prediction.
  ☆100Updated this week
• UnHans / Awesome-Data-Centric-Graph-Learning-Papers
  n awesome&curated list of the advanced graph data-centric (i.e., graph sparsification, graph denoise, graph condensation) learning papers
  ☆16Updated 2 months ago
• XYGaoG / Graph-Condensation-Papers
  Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.
  ☆44Updated last month
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆211Updated 8 months ago
• Zehong-Wang / Awesome-Foundation-Models-on-Graphs
  A collection of graph foundation models including papers, codes, and datasets.
  ☆90Updated 3 weeks ago
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆49Updated 8 months ago
• HKUDS / Awesome-LLM4Graph-Papers
  [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
  ☆330Updated 4 months ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆165Updated 2 years ago
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆32Updated 6 months ago
• Jaygagaga / ProNoG
  ☆11Updated 4 months ago
• Zhuofeng-Li / TEG-Benchmark
  [NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
  ☆40Updated 6 months ago
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆199Updated 7 months ago
• CurryTang / Graph-LLM
  Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
  ☆302Updated 4 months ago
• WxxShirley / Awesome-Graph-Prompt
  Awesome Papers About Performing Prompting On Graphs
  ☆399Updated 2 months ago
• yuziGuo / PolyFilterPlayground
  ☆14Updated 8 months 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
• sktsherlock / TAG-Benchmark
  Benchmark
  ☆102Updated last year