Alternatives and similar repositories for HGM2R:

Users that are interested in HGM2R are comparing it to the libraries listed below

• iMoonLab / LightHGNN
  Source code for ICLR 2024 "LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference"
  ☆26Updated 11 months ago
• iMoonLab / HIC
  Source code of IEEE TPAMI 2024 "Hypergraph Isomorphism Computation"
  ☆24Updated 11 months ago
• HHW-zhou / TDHNN
  Code of "Totally Dynamic Hypergraph Neural Network"
  ☆21Updated 7 months ago
• VITA-Group / ViHGNN
  [ICCV2023] "Vision HGNN: An Image is More than a Graph of Nodes" by Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, and Zhangyang Wang
  ☆45Updated 9 months ago
• GGA23 / GrokFormer
  ☆23Updated last month
• iMoonLab / LLM4Hypergraph
  ☆19Updated 3 months ago
• limengran98 / HGTN
  The codes of Hpyergraph Transformer Nerual Networks.
  ☆18Updated 7 months ago
• zknus / NeurIPS-2023-HANG-Robustness
  Adversarial Robustness in Graph Neural Networks: A Hamiltonian Energy Conservation Approach
  ☆13Updated 8 months ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆113Updated 2 weeks ago
• LiuChuang0059 / Gradformer
  Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay
  ☆39Updated last month
• mlvlab / DeformableGCN
  Deformable Graph Convolutional Networks (Author's PyTorch implementation for the AAAI 2022 paper)
  ☆24Updated 2 years ago
• EdisonLeeeee / MaskGAE
  [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
  ☆82Updated 2 months ago
• liujing1023 / Graph-based-Knowledge-Distillation
  Graph based Knowledge Distillation: A Survey
  ☆64Updated last year
• yifanfeng97 / OS-MN40-Example
  ☆15Updated 2 years ago
• gzcsudo / Awesome-Hypergraph-Network
  A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
  ☆223Updated 4 months ago
• mike-qz-wang / ACT
  The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…
  ☆42Updated 2 years ago
• XiaobinHong / LAD-GNN
  The source code of LAD-GNN.
  ☆13Updated 8 months ago
• iMoonLab / THU-HyperG
  ☆108Updated 3 years ago
• malllabiisc / HyperGCN
  NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
  ☆189Updated 4 years ago
• WxTu / DFCN
  AAAI 2021-Deep Fusion Clustering Network
  ☆78Updated 10 months ago
• iMoonLab / DHGNN
  DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
  ☆244Updated 2 years ago
• mmg63 / Hypergraph-Convolution-and-Attention-networks
  Hypergraph convolution and attention networks research
  ☆13Updated 5 months ago
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆59Updated 3 months ago
• shenxiaocam / NCLA
  Neighbor Contrastive Learning on Learnable Graph Augmentation
  ☆33Updated 6 months ago
• Wuyxin / DIR-GNN
  Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
  ☆123Updated last year
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆41Updated 5 months ago
• hedongxiao-tju / HOG-GCN
  ☆37Updated 3 years ago
• bdy9527 / FAGCN
  ☆95Updated 3 years ago
• YujieMo / DMG
  ☆18Updated 8 months ago
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆79Updated 3 months ago