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.
  ☆253Updated 4 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆132Updated last month
• iMoonLab / DeepHypergraph
  A pytorch library for graph and hypergraph computation.
  ☆732Updated last year
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆69Updated 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.
  ☆187Updated last week
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆235Updated last year
• Marigoldwu / A-Unified-Framework-for-Deep-Attribute-Graph-Clustering
  This project is a scalable unified framework for deep graph clustering.
  ☆106Updated last week
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆114Updated 3 weeks ago
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆80Updated 5 months ago
• malllabiisc / HyperGCN
  NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
  ☆196Updated 4 years ago
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆89Updated 3 years ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆326Updated last year
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆293Updated 9 months ago
• iMoonLab / THU-HyperG
  ☆110Updated 3 years ago
• ICT-GIMLab / SeHGNN
  ☆111Updated last year
• iMoonLab / HIC
  Source code of IEEE TPAMI 2024 "Hypergraph Isomorphism Computation"
  ☆24Updated last year
• iMoonLab / DHGNN
  DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
  ☆253Updated 2 years ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆167Updated last year
• TrustAGI-Lab / SUBLIME
  [WWW'22] Towards Unsupervised Deep Graph Structure Learning
  ☆137Updated 2 years ago
• Cloudy1225 / Awesome-Link-Prediction
  A list of recent papers about Link Prediction.
  ☆80Updated 3 weeks ago
• qitianwu / NodeFormer
  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…
  ☆303Updated last year
• logseminar / Schedule
  Schedule for learning on graphs seminar
  ☆109Updated last year
• DaehanKim / vgae_pytorch
  This repository implements variational graph auto encoder by Thomas Kipf.
  ☆405Updated 3 years ago
• SpaceLearner / Awesome-DynamicGraphLearning
  Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
  ☆639Updated 4 months ago
• SitaoLuan / LLM4Graph
  ☆172Updated last year
• ZhenyuYangMQ / Awesome-Graph-Level-Learning
  Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github …
  ☆54Updated 7 months ago
• WxxShirley / Awesome-Graph-Prompt
  Awesome Papers About Performing Prompting On Graphs
  ☆381Updated 3 weeks ago
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆208Updated 11 months ago
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆75Updated 7 months ago
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆309Updated last week