Alternatives and similar repositories for ProG

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

• WxxShirley / Awesome-Graph-Prompt
  Awesome Papers About Performing Prompting On Graphs
  ☆397Updated 2 months ago
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆326Updated 3 weeks ago
• LUOyk1999 / tunedGNN
  [NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"
  ☆146Updated last month
• SitaoLuan / LLM4Graph
  ☆178Updated last year
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆278Updated last year
• HKUDS / Awesome-LLM4Graph-Papers
  [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"
  ☆327Updated 4 months ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆225Updated last year
• SpaceLearner / Awesome-DynamicGraphLearning
  Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
  ☆661Updated last month
• Starlien95 / GraphPrompt
  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
  ☆158Updated 8 months ago
• yhLeeee / Awesome-LLMs-in-Graph-tasks
  A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
  ☆610Updated 3 months ago
• qitianwu / SGFormer
  The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"
  ☆249Updated 11 months ago
• HKUDS / GraphGPT
  [SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
  ☆759Updated last year
• CurryTang / Graph-LLM
  Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
  ☆300Updated 4 months ago
• XiaoxinHe / TAPE
  Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…
  ☆232Updated 3 months ago
• BUPT-GAMMA / GammaGL
  A multi-backend graph learning library.
  ☆240Updated last month
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆165Updated 2 years ago
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆200Updated 3 weeks 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
• W-rudder / TEA-GLM
  ☆33Updated 7 months ago
• LirongWu / awesome-graph-self-supervised-learning
  Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
  ☆1,412Updated 11 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆144Updated 4 months ago
• DGraphXinye / DGraphFin_baseline
  This is a repository contaning baseline code for DGraphFin Dataset
  ☆121Updated 2 years ago
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆208Updated 8 months ago
• MingChen-Sun / GPPT
  ☆60Updated 2 years ago
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆45Updated 7 months ago
• mala-lab / Awesome-Deep-Graph-Anomaly-Detection
  Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources …
  ☆119Updated last week
• HKUDS / GraphEdit
  "GraphEdit: Large Language Models for Graph Structure Learning"
  ☆134Updated last year
• yueliu1999 / Awesome-Deep-Graph-Clustering
  Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
  ☆928Updated 2 months ago
• gzcsudo / Awesome-Hypergraph-Network
  A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
  ☆273Updated 5 months ago
• WenZhihao666 / G2P2
  Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023
  ☆32Updated 5 months ago