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.
  ☆245Updated 3 months ago
• iMoonLab / DeepHypergraph
  A pytorch library for graph and hypergraph computation.
  ☆720Updated 11 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆128Updated 3 weeks ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆113Updated 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.
  ☆179Updated last week
• iMoonLab / DHGNN
  DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
  ☆246Updated 2 years ago
• qitianwu / NodeFormer
  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…
  ☆302Updated last year
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆205Updated 10 months ago
• sangyx / gtrick
  Bag of Tricks for Graph Neural Networks.
  ☆292Updated 8 months ago
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆69Updated 2 years ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆228Updated last year
• logseminar / Schedule
  Schedule for learning on graphs seminar
  ☆109Updated last year
• iMoonLab / THU-HyperG
  ☆109Updated 3 years ago
• THUMNLab / awesome-graph-ood
  Papers about out-of-distribution generalization on graphs.
  ☆166Updated 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 6 months ago
• THUMNLab / awesome-large-graph-model
  Papers about large graph models.
  ☆277Updated last year
• malllabiisc / HyperGCN
  NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
  ☆194Updated 4 years ago
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆75Updated 6 months ago
• SitaoLuan / LLM4Graph
  ☆170Updated 11 months ago
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆192Updated 4 months ago
• ICT-GIMLab / SeHGNN
  ☆107Updated last year
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆94Updated last year
• snap-stanford / roland
  ☆132Updated last year
• THUDM / GraphMAE
  GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
  ☆502Updated last year
• YuanchenBei / Awesome-Pretraining-for-Graph-Neural-Networks
  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
  ☆189Updated 2 months ago
• iMoonLab / HIC
  Source code of IEEE TPAMI 2024 "Hypergraph Isomorphism Computation"
  ☆24Updated last year
• BUPT-GAMMA / GFMPapers
  Must-read papers on graph foundation models (GFMs)
  ☆299Updated last week
• Marigoldwu / A-Unified-Framework-for-Deep-Attribute-Graph-Clustering
  This project is a scalable unified framework for deep graph clustering.
  ☆104Updated 3 months ago
• MingChen-Sun / GPPT
  ☆57Updated 2 years ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆325Updated 11 months ago