Alternatives and similar repositories for HEE:

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

• tbh-98 / Hypergraph-MLP
  ☆15Updated last year
• MinhZou / UniG-Encoder
  UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification.
  ☆11Updated last week
• qhgz2013 / HyperDNE
  ☆10Updated last year
• COMPiLELab / HyperND
  The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
  ☆13Updated 2 years ago
• yxzwang / PhenomNN
  Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks
  ☆21Updated last year
• PreckLi / RAHG
  Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.
  ☆11Updated 8 months ago
• zeroxleo / HyperGT
  The implementation of ICASSP 2024 lecture presentation paper "Hypergraph Transformer for Semi-Supervised Classification"
  ☆15Updated 4 months ago
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆21Updated 11 months ago
• luoyuanlab / SHINE
  NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork
  ☆17Updated last year
• OneForward / ResMHGNN
  Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).
  ☆18Updated 3 years ago
• harryjo97 / EHGNN
  Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
  ☆53Updated last year
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆30Updated last year
• ycq091044 / LEGCN
  CIKM2022: source code for "hypergraph learning with line expansion" paper
  ☆19Updated last year
• iMoonLab / LLM4Hypergraph
  The source code of ICLR 2025 "Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?"
  ☆27Updated 2 months ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆44Updated 7 months ago
• HHW-zhou / TDHNN
  Code of "Totally Dynamic Hypergraph Neural Network"
  ☆22Updated 10 months ago
• ubc-systopia / CATWalk
  CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.
  ☆13Updated last year
• Graph-COM / SUREL_Plus
  [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.
  ☆17Updated last year
• hedongxiao-tju / BM-GCN
  The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".
  ☆32Updated 3 years ago
• weitianxin / HyperGCL
  [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…
  ☆56Updated 2 years ago
• limengran98 / HGTN
  The codes of Hpyergraph Transformer Nerual Networks.
  ☆19Updated 9 months ago
• zyzisastudyreallyhardguy / UGCL
  The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"
  ☆21Updated 2 years ago
• asarigun / GraphMixerNetworks
  Official Implementation of Graph Mixer Networks
  ☆20Updated last year
• RingBDStack / ACE-HGNN
  Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”
  ☆15Updated 3 years ago
• divelab / Non-Local-GNN
  Official implementation of "Non-Local Graph Neural Networks" [TPAMI]
  ☆22Updated 2 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆41Updated 4 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆45Updated 4 years ago
• young917 / EdgeDependentNodeLabel
  KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs
  ☆18Updated 8 months ago
• young917 / MiDaS
  WWW22 - MiDaS: Representative Hypergraph Sampling
  ☆12Updated 10 months ago
• NSLab-CUK / Unified-Graph-Transformer
  Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…
  ☆27Updated 3 months ago