Alternatives and similar repositories for Awesome-Hypergraph-Network

Users that are interested in Awesome-Hypergraph-Network are comparing it to the libraries listed below

• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆259Updated 6 months ago
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆198Updated last week
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆142Updated 3 months ago
• iMoonLab / DeepHypergraph
  A pytorch library for graph and hypergraph computation.
  ☆749Updated last year
• qitianwu / NodeFormer
  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…
  ☆309Updated last year
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆323Updated 2 weeks ago
• iMoonLab / DHGNN
  DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
  ☆261Updated 2 years ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆251Updated last year
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆70Updated 2 years ago
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆207Updated 7 months ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆115Updated 2 months ago
• WxxShirley / Awesome-Graph-Prompt
  Awesome Papers About Performing Prompting On Graphs
  ☆393Updated last month
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆295Updated 11 months ago
• iMoonLab / THU-HyperG
  ☆111Updated 4 years ago
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆278Updated last year
• THUDM / HGB
  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
  ☆325Updated last year
• Marigoldwu / PyDGC
  A Unified Library for Deep Graph Clustering
  ☆110Updated last week
• ICT-GIMLab / SeHGNN
  ☆114Updated last year
• malllabiisc / HyperGCN
  NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
  ☆200Updated 4 years ago
• THUDM / GraphMAE
  GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
  ☆526Updated 2 years ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆221Updated last year
• SitaoLuan / LLM4Graph
  ☆177Updated last year
• Cloudy1225 / Awesome-Link-Prediction
  A list of recent papers about Link Prediction.
  ☆91Updated last week
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆76Updated 9 months ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆166Updated 2 years ago
• downeykking / graph-papers
  Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
  ☆37Updated last year
• Emory-Melody / awesome-graph-reduction
  [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
  ☆158Updated last week
• azminewasi / Awesome-Graph-Research-ICLR2024
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆95Updated 7 months ago
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆98Updated last year
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆80Updated 7 months ago