fulowl / Awesome-Hypergraph-Learning

Papers about hypergraph, their applications, and even similar ideas.

Awesome-Hypergraph-Learning

Papers about hypergraph, their applications, and even similar ideas.

2022

• [ICLR 2022 underreview] Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs

2021

• [arxiv 2021] Detecting informative higher-order interactions in statistically validated hypergraphs
• [arxiv 2021] The physics of higher-order interactions in complex systems
• [arxiv 2021] Love tHy Neighbour: Remeasuring Local Structural Node Similarity in Hypergraph-Derived Networks
• [arxiv 2021] The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs
• [arxiv 2021] Graph Communal Contrastive Learning
• [arxiv 2021] Adaptive Neural Message Passing for Inductive Learning on Hypergraphs
• [arxiv 2021] Recurrently Predicting Hypergraphs
• [arxiv 2021] You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks
• [arxiv 2021] Neural Higher-order Pattern (Motif) Prediction in Temporal Networks
• [arxiv 2021] Learnable Hypergraph Laplacian for Hypergraph Learning
• [arxiv 2021] Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks
• [arxiv 2021] A Hypergraph Convolutional Neural Network for Molecular Properties Prediction using Functional Group
• [arxiv 2021] What are higher-order networks?
• [arxiv 2021] Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data
• [openreview 2021] DyHCN: Dynamic Hypergraph Convolutional Networks
• [WWW 2021] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
• [WWW 2021] Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks
• [WWW 2021] Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
• [SDM 2021] Session-based Recommendation with Hypergraph Attention Networks
• [Neurips 2021] Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs
• [Neurips 2021] Edge Representation Learning with Hypergraphs
• [IJCAI 2021] UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
• [ICDM 2021] HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation
• [CIKM 2021] Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
• [CIKM 2021] Click-Through Rate Prediction with Multi-Modal Hypergraphs
• [AAAI 2021] Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

2020

• [arxiv 2020] Hypergraph Convolution and Hypergraph Attention
• [WWW 2020] How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction
• [TPAMI 2020] Hypergraph Learning: Methods and Practices
• [SIGIR 2020] Next-item Recommendation with Sequential Hypergraphs
• [Neurips 2020] Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs
• [Neurips 2020] Subgraph Neural Networks
• [KDD 2020] Hypergraph Convolutional Recurrent Neural Network
• [EMNLP 2020] Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
• [ACM MM 2020] AdaHGNN: Adaptive Hypergraph Neural Networks for Multi-Label Image Classification
• [AAAI 2020] Hypergraph Label Propagation Network

2019

• [arxiv 2019] Exploring High-Order Correlations for Industry Anomaly Detection
• [arxiv 2019] Molecular Hypergraph Grammar with Its Application to Molecular Optimization
• [Neurips 2019] HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
• [KDD 2019] HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings
• [IJCAI 2019] Dynamic Hypergraph Neural Networks
• [ICML 2019] Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
• [ICML 2019] Molecular Hypergraph Grammar with Its Application to Molecular Optimization
• [AAAI 2019] Hypergraph Neural Networks
• [AAAI 2019] Hypergraph Neural Networks

Others

• [IJCAI 2018] Dynamic Hypergraph Structure Learning
• [AAAI 2018] Structural Deep Embedding for Hyper-Networks
• [arxiv 2015] Learning Hypergraph-regularized Attribute Predictors
• [TPAMI 2015] Transductive Multi-View Zero-Shot Learning
• [arxiv 2010] Image retrieval via probabilistic hypergraph ranking