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How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction

30 January 2020

Papers citing "How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction"

21 / 21 papers shown

Title
Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks John Hood Caterina De Bacco Aaron Schein GNN 67 0 0 27 May 2025
MARIOH: Multiplicity-Aware Hypergraph Reconstruction Kyuhan Lee Geon Lee Kijung Shin 119 0 0 01 Apr 2025
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors Jun-Gi Jang Jingrui He A. Margenot Hanghang Tong 62 0 0 14 Mar 2025
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide Sunwoo Kim Soo Yong Lee Yue Gao Alessia Antelmi Mirko Polato Kijung Shin GNN AI4TS 86 23 0 01 Apr 2024
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs Sunwoo Kim Shinhwan Kang Fanchen Bu Soo Yong Lee Jaemin Yoo Kijung Shin SSL 75 11 0 31 Mar 2024
Hypergraph Node Representation Learning with One-Stage Message Passing Shilin Qu Weiqing Wang Yuanxin Li Xin Zhou Fajie Yuan 73 1 0 01 Dec 2023
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning Yunyong Ko Hanghang Tong Sang-Wook Kim 75 0 0 11 Sep 2023
Classification of Edge-dependent Labels of Nodes in Hypergraphs Minyoung Choe Sunwoo Kim Jaemin Yoo Kijung Shin GNN 80 13 0 05 Jun 2023
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network Yumeng Song Yu Gu Tianyi Li Jianzhong Qi Zhenghao Liu Christian S. Jensen Ge Yu SSL 75 18 0 10 Mar 2023
Generative Hypergraph Models and Spectral Embedding Xue Gong D. Higham K. Zygalakis 27 11 0 28 Jul 2022
Learning Causal Effects on Hypergraphs Jing Ma Mengting Wan Longqi Yang Jundong Li Brent J. Hecht J. Teevan CML 60 49 0 07 Jul 2022
A Survey on Hyperlink Prediction Cang Chen Yang-Yu Liu 3DV AI4CE 52 44 0 06 Jul 2022
AHP: Learning to Negative Sample for Hyperedge Prediction Hyunjin Hwang Seungwoo Lee Chanyoung Park Kijung Shin 69 30 0 13 Apr 2022
Self-Organized Polynomial-Time Coordination Graphs Qianlan Yang Weijun Dong Zhizhou Ren Jianhao Wang Tonghan Wang Chongjie Zhang 67 16 0 07 Dec 2021
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs Devanshu Arya D. K. Gupta Stevan Rudinac Marcel Worring 87 13 0 22 Sep 2021
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation Junwei Zhang Min Gao Junliang Yu Lei Guo Jundong Li Hongzhi Yin 81 135 0 09 Sep 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 165 101 0 01 Jul 2021
Neural Predicting Higher-order Patterns in Temporal Networks Yunyu Liu Jianzhu Ma Pan Li 102 31 0 10 Jun 2021
Hypergraph Pre-training with Graph Neural Networks Boxin Du Changhe Yuan Robert A. Barton T. Neiman Hanghang Tong AI4CE 62 14 0 23 May 2021
Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach Manohar Kaul Masaaki Imaizumi 23 1 0 06 Feb 2021
Unsupervised Joint $k$ -node Graph Representations with Compositional Energy-Based Models Leonardo Cotta Carlos H. C. Teixeira A. Swami Bruno Ribeiro SSL 72 9 0 08 Oct 2020