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awesome-hypergraph-learning

A curated list of awesome Hypergraph Learning frameworks, libraries and software. Awesome

Contents

Table of Contents

Surveys

  • Hypergraph Learning: Methods and Practices Yue Gao, Zizhao Zhang, Haojie Lin, Xibin Zhao, Shaoyi Du, Changqing Zou paper
  • Higher order learning with graphs Sameer Agarwal, Kristin Branson,Serge Belongie paper

Papers

Architectures

  • Sheaf Hypergraph Networks paper

  • Learning with Hypergraphs: Clustering, Classification, and Embedding. paper

  • You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks. paper | code

  • HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs paper | code

  • Hypergraph Neural Networks paper | code

  • Hypergraph Convolution and Hypergraph Attention paper | code

  • Hyper-SAGNN: a self-attention based graph neural network for hypergraphs paper

  • Hypergraph Attention Networks paper

  • HNHN: Hypergraph Networks with Hyperedge Neurons paper | code

  • Hypergraph Learning with Line Expansion paper

  • Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion paper | code

  • Be More with Less: Hypergraph Attention Networks for Inductive Text Classification paper

  • HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs paper

  • Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs paper | code

  • Edge Representation Learning with Hypergraphs paper | code

  • DHGNN: Dynamic Hypergraph Neural Networks paper | code

Recommender systems

  • Hypergraph Contrastive Collaborative Filtering paper | code
  • Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation paper | code
  • Hyperbolic Hypergraphs for Sequential Recommendation paper

Knowledge systems

  • Knowledge Hypergraphs: Prediction Beyond Binary Relations paper

Computer Vision

  • Adaptive Hypergraph Learning and its Application in Image Classification paper
  • Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification paper

Datasets

  • Collection of datasets from Austin R. Benson' research projects. website

Frameworks

  • HyperNetX is a Python preliminary library that generalizes traditional graph metrics to hypergraphs, and it provides proper documentation and tutorials.
  • multihypergraph A simple python package for graph theory that supports multi-edges, hyper-edges, looped-edges and every other combination of these.

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A curated list of awesome Hypergraph Learning frameworks, libraries and software.

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