Alternatives and similar repositories for Edge_GNN

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

• jamesYu365 / EGAT
  a pytorch implementation of Exploiting Edge Features in Graph Neural Networks.
  ☆46Updated 2 years ago
• iMoonLab / DHGNN
  DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
  ☆275Updated 2 years ago
• qwerfdsaplking / Graph-Trans
  A graph transformer framework
  ☆78Updated 3 years ago
• qitianwu / NodeFormer
  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…
  ☆313Updated last year
• xnuohz / ARMA-dgl
  A DGL implementation of "Graph Neural Networks with convolutional ARMA filters". (PAMI 2021)
  ☆17Updated 4 years ago
• malllabiisc / HyperGCN
  NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
  ☆209Updated 5 years ago
• snap-stanford / roland
  ☆140Updated 2 years ago
• asFeng / kergnns
  ☆30Updated 3 years ago
• iMoonLab / LightHGNN
  Source code for ICLR 2024 "LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference"
  ☆35Updated last year
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆117Updated 7 months ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆132Updated last year
• gzcsudo / Awesome-Hypergraph-Network
  A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
  ☆305Updated 9 months ago
• bdy9527 / FAGCN
  ☆99Updated 4 years ago
• iMoonLab / HGNN
  Hypergraph Neural Networks (AAAI 2019)
  ☆812Updated 3 years ago
• iMoonLab / THU-HyperG
  ☆118Updated 4 years ago
• alge24 / DyGNN
  ☆63Updated 5 years ago
• ICT-GIMLab / SeHGNN
  ☆123Updated 2 years ago
• jianhao2016 / GPRGNN
  ☆138Updated 2 years ago
• ZZy979 / pytorch-tutorial
  PyTorch示例代码；复现GNN模型
  ☆139Updated 3 years ago
• tech-srl / how_attentive_are_gats
  Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
  ☆350Updated 3 years ago
• Ffffffffire / HINormer
  ☆34Updated 2 years ago
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆336Updated last year
• OneForward / UniGNN
  Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).
  ☆71Updated 4 years ago
• OuYangg / GNNs
  This is a repository used to preserve codes about GNNs.
  ☆27Updated 3 years ago
• CRIPAC-DIG / GRACE
  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
  ☆336Updated last year
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆96Updated 3 years ago
• PolarisRisingWar / HGNN_Collection
  A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.
  ☆59Updated last year
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆274Updated 2 years ago
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆103Updated 2 years ago
• skx300 / DyHATR
  DyHATR (ECML-PKDD 2020)
  ☆44Updated 5 years ago