frankuc / awesome-higherordergraph

Collection of papers relating data-driven higher-order graph/networks researches.

Awesome-HigherOrderGraph

This is a collection of methods for higher-order graphs.

1. Surveys & Books

Higher-order Networks: An Introduction to Simplicial Complexes 2021.

The physics of higher-order interactions in complex systems Nature Physics, 2021

Hypergraph Learning: Methods and Practices TPAMI (2020)

Networks beyond pairwise interactions: structure and dynamics Physics Reports (2020)

2. Methods

2.1 Neural Networks Models

2.1.1 HyperGraph-related

Hypergraph Structure Learning for Hypergraph Neural Networks IJCAI (2022)

Equivariant Hypergraph Neural Networks ECCV (2022)

HGNN+ : General Hypergraph Neural Networks TPAMI (2022)

Hypergraph Collaborative Network on Vertices and Hyperedges TPAMI (2022)

Dynamic Hypergraph Convolutional Network ICDE (2022)

Learnable Hypergraph Laplacian for Hypergraph Learning ICASSP (2022)

Hypergraph Structure Learning for Hypergraph Neural Networks IJCAI （2022）

Equivariant Hypergraph Diffusion Neural Operators ArXiv (2022)

UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks IJCAI (2021)

HIGH SKIP NETWORKS: A HIGHER ORDER GENERALIZATION OF SKIP CONNECTIONS ICLR Workshop 2022

A Multiset Function Framework for Hypergraph Neural Networks ICLR 2022

Adaptive Neural Message Passing for Inductive Learning on Hypergraphs ArXiv (2021)

Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs NeurIPS (2021)

Learning over Families of Sets-Hypergraph Representation Learning for Higher Order Tasks SDM (2021).

Hyper-SAGNN: a self-attention based graph neural network for hypergraphs ICLR (2021).

Hypergraph Learning with Line Expansion ArXiv (2020).

Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion Big Data (2020).

Hypergraph Attention Networks TrustCom (2020).

Hypergraph Convolution and Hypergraph Attention Pattern Recognit (2021).

Random Walks on Hypergraphs with Edge-Dependent Vertex Weights ICML (2019).

Hypergraph Induced Convolutional Manifold Networks IJCAI (2019).

HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs NeurIPS (2019).

Dynamic Hypergraph Neural Networks IJCAI (2019).

Hypergraph neural networks AAAI (2019).

2.1.2 Simpliex/Cell-related

Higher-Order Attention Networks ArXiv (2022)

Simplicial Convolutional Neural Networks ICASSP (2022)

Simplicial Attention Networks ICLR Workshop 2022

Simplicial Attention Neural Networks. ArXiv (2022)

Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks ICML (2021)

Weisfeiler and Lehman Go Cellular: CW Networks NeurIPS (2021)

Cell Complex Neural Networks ICLR (2022) Workshop

Simplicial Neural Networks Topological Data Analysis and Beyond workshop at NeurIPS 2020

2.1.3 Others

Graph Neural Network for Higher-Order Dependency Networks WWW (2022).

HONEM: Learning Embedding for Higher Order Networks Big data (2020).

2.2 Statistical Methods

Hypergraph reconstruction from noisy pairwise observations ArXiv (2022)

Full reconstruction of simplicial complexes from binary contagion and Ising data. Nat Commun (2022)

Detecting informative higher-order interactions in statistically validated hypergraphs ArXiv 2021.

Hypergraph reconstruction from network data Communications Physics (2020)

3. Hyperlink Prediction

[A Survey on Hyperlink Prediction] (https://arxiv.org/abs/2207.02911) ArXiv (2022)

A Two-Stage Framework for Directed Hypergraph Link Prediction Mathematics (2022)

Predicting hyperlinks via hypernetwork loop structure EPL(2022)

4. Applications

Hypergraph Transformer for Skeleton-based Action Recognition ArXiv (2022)

HEGEL: Hypergraph Transformer for Long Document Summarization EMNLP (2022)

FC–HAT: Hypergraph attention network for functional brain network classification Information Sciences (2022).

Co-clustering Interactions via Attentive Hypergraph Neural Network SIGIR (2022).

Hypergraph Contrastive Collaborative Filtering SIGIR (2022).

Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation ArXiv 2022

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation AAAI (2021).

Heterogeneous Hypergraph Variational Autoencoder for Link Prediction IEEE transactions on pattern analysis and machine intelligence PP (2021).

Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation CIKM (2021).

Hypergraphs and Cellular Networks. PLoS computational biology (2009)