Awesome-Hypergraph-Learning

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Awesome-Hypergraph-Learning

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

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# Awesome-Hypergraph-Learning
Papers about hypergraph, their applications, and even similar ideas.

## 2022
- [ICLR 2022 under review] [**Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs**](https://openreview.net/forum?id=zFyCvjXof60)
- [ICLR 2022 under review] [**TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting**](https://openreview.net/forum?id=wv6g8fWLX2q)
- [ICLR 2022 under review] [**A molecular hypergraph convolutional network with functional group information**](https://openreview.net/forum?id=jPwC2MMI85Y)
- [ICLR 2022 under review] [**You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks**](https://openreview.net/forum?id=hpBTIv2uy_E)
- [ICLR 2022 under review] [**MULTI-LEVEL APPROACH TO ACCURATE AND SCALABLE HYPERGRAPH EMBEDDING**](https://openreview.net/forum?id=a4W0tSTN9Kn)
- [ICLR 2022 under review] [**GRAPH CONDENSATION FOR GRAPH NEURAL NETWORKS**](https://openreview.net/forum?id=WLEx3Jo4QaB)
- [ICLR 2022 under review] [**Efficient Training and Inference of Hypergraph Reasoning Networks**](https://openreview.net/forum?id=WKWAkkXGpWN)
- [ICLR 2022 under review] [**On the Expressiveness and Learning of Relational Neural Networks on Hypergraphs**](https://openreview.net/forum?id=HRF6T1SsyDn)
- [ICLR 2022 under review] [**FEATURE-AUGMENTED HYPERGRAPH NEURAL NETWORKS**](https://openreview.net/forum?id=GrJDb8KXPA3)
- [ICLR 2022 under review] [**Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets**](https://openreview.net/forum?id=7Z7u2z1Ornl)

## 2021
- [ICLR 2022] [**Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets**](https://openreview.net/forum?id=7Z7u2z1Ornl)
- [openreview 2021] [**DyHCN: Dynamic Hypergraph Convolutional Networks**](https://openreview.net/forum?id=Bx05YH2W8bE)
- [arxiv 2021] [**Detecting informative higher-order interactions in statistically validated hypergraphs**](https://www.nature.com/articles/s42005-021-00710-4)
- [arxiv 2021] [**The physics of higher-order interactions in complex systems**](https://www.nature.com/articles/s41567-021-01371-4)
- [arxiv 2021] [**Love tHy Neighbour: Remeasuring Local Structural Node Similarity in Hypergraph-Derived Networks**](http://arxiv.org/abs/2111.00256)
- [arxiv 2021] [**The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs**](http://arxiv.org/abs/2111.00243)
- [arxiv 2021] [**Graph Communal Contrastive Learning**](http://arxiv.org/abs/2110.14863)
- [arxiv 2021] [**Adaptive Neural Message Passing for Inductive Learning on Hypergraphs**](http://arxiv.org/abs/2109.10683)
- [arxiv 2021] [**Recurrently Predicting Hypergraphs**](http://arxiv.org/abs/2106.13919)
- [arxiv 2021] [**You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks**](http://arxiv.org/abs/2106.13264)
- [arxiv 2021] [**Neural Higher-order Pattern (Motif) Prediction in Temporal Networks**](http://arxiv.org/abs/2106.06039)
- [arxiv 2021] [**Learnable Hypergraph Laplacian for Hypergraph Learning**](http://arxiv.org/abs/2106.05701)
- [arxiv 2021] [**Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks**](http://arxiv.org/abs/2106.04292)
- [arxiv 2021] [**A Hypergraph Convolutional Neural Network for Molecular Properties Prediction using Functional Group**](http://arxiv.org/abs/2106.01028)
- [arxiv 2021] [**What are higher-order networks?**](http://arxiv.org/abs/2104.11329)
- [arxiv 2021] [**Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data**](http://arxiv.org/abs/2103.05031)
- [WWW 2021] [**Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks**](https://dl.acm.org/doi/10.1145/3442381.3449954)
- [WWW 2021] [**Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks**](https://dl.acm.org/doi/10.1145/3442381.3449912)
- [WWW 2021] [**Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation**](http://arxiv.org/abs/2101.06448)
- [WSDM 2021] [**Heterogeneous Hypergraph Embedding for Graph Classification**](https://dl.acm.org/doi/10.1145/3437963.3441835)
- [SDM 2021] [**Session-based Recommendation with Hypergraph Attention Networks**](https://epubs.siam.org/doi/10.1137/1.9781611976700.10)
- [Neurips 2021] [**Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs**](http://arxiv.org/abs/2110.14416)
- [Neurips 2021] [**Edge Representation Learning with Hypergraphs**](http://arxiv.org/abs/2106.15845)
- [IJCAI 2021] [**UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks**](https://www.ijcai.org/proceedings/2021/353)
- [ICDM 2021] [**HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation**](http://arxiv.org/abs/2110.01467)
- [CIKM 2021] [**Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation**](http://arxiv.org/abs/2109.04200)
- [CIKM 2021] [**Click-Through Rate Prediction with Multi-Modal Hypergraphs**](http://arxiv.org/abs/2109.02398)
- [AAAI 2021] [**Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation**](https://arxiv.org/abs/2012.06852)
- [AAAI 2021] [**Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach**](https://ojs.aaai.org/index.php/AAAI/article/view/16127)

## 2020
- [arxiv 2020] [**HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs**](http://arxiv.org/abs/2010.04558)
- [arxiv 2020] [**Hypergraph Convolution and Hypergraph Attention**](http://arxiv.org/abs/1901.08150)
- [WWW 2020] [**How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction**](https://dl.acm.org/doi/10.1145/3366423.3380016)
- [TPAMI 2020] [**Hypergraph Learning: Methods and Practices**](https://ieeexplore.ieee.org/document/9264674/)
- [SIGIR 2020] [**Next-item Recommendation with Sequential Hypergraphs**](https://dl.acm.org/doi/10.1145/3397271.3401133)
- [Neurips 2020] [**Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs**](https://proceedings.neurips.cc/paper/2020/hash/217eedd1ba8c592db97d0dbe54c7adfc-Abstract.html)
- [Neurips 2020] [**Subgraph Neural Networks**](http://arxiv.org/abs/2006.10538)
- [KDD 2020] [**Hypergraph Convolutional Recurrent Neural Network**](https://dl.acm.org/doi/10.1145/3394486.3403389)
- [ICML 2020] [**HNHN: Hypergraph Networks with Hyperedge Neurons**](http://arxiv.org/abs/2006.12278)
- [EMNLP 2020] [**Be More with Less: Hypergraph Attention Networks for Inductive Text Classification**](https://www.aclweb.org/anthology/2020.emnlp-main.399)
- [ACM MM 2020] [**AdaHGNN: Adaptive Hypergraph Neural Networks for Multi-Label Image Classification**](https://dl.acm.org/doi/10.1145/3394171.3414046)
- [AAAI 2020] [**Hypergraph Label Propagation Network**](https://aaai.org/ojs/index.php/AAAI/article/view/6170)

## 2019
- [arxiv 2019] [**Exploring High-Order Correlations for Industry Anomaly Detection**](https://ieeexplore.ieee.org/document/8684782/)
- [Neurips 2019] [**HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs**](https://papers.nips.cc/paper/2019/hash/1efa39bcaec6f3900149160693694536-Abstract.html)
- [KDD 2019] [**HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings**](https://dl.acm.org/doi/10.1145/3292500.3330876)
- [IJCAI 2019] [**Dynamic Hypergraph Neural Networks**](https://www.ijcai.org/proceedings/2019/366)
- [ICML 2019] [**Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks**](https://arxiv.org/abs/1810.00825)
- [ICML 2019] [**Molecular Hypergraph Grammar with Its Application to Molecular Optimization**](http://proceedings.mlr.press/v97/kajino19a.html)
- [AAAI 2019] [**Hypergraph Neural Networks**](https://www.aaai.org/ojs/index.php/AAAI/article/view/4235)
- [AAAI 2019] [**Hypergraph Neural Networks**](https://www.aaai.org/ojs/index.php/AAAI/article/view/4235)

## Others
- [IJCAI 2018] [**Dynamic Hypergraph Structure Learning**](https://www.ijcai.org/proceedings/2018/439)
- [AAAI 2018] [**Structural Deep Embedding for Hyper-Networks**](https://arxiv.org/abs/1711.10146)
- [arxiv 2015] [**Learning Hypergraph-regularized Attribute Predictors**](http://arxiv.org/abs/1503.05782)
- [TPAMI 2015] [**Transductive Multi-View Zero-Shot Learning**](http://ieeexplore.ieee.org/document/7053935/)
- [arxiv 2010] [**Image retrieval via probabilistic hypergraph ranking**](http://ieeexplore.ieee.org/document/5540012/)

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