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How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction
The Web Conference (WWW), 2020
30 January 2020
Se-eun Yoon
Hyungseok Song
Kijung Shin
Yung Yi
Re-assign community
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Papers citing
"How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction"
24 / 24 papers shown
Temporally Detailed Hypergraph Neural ODEs for Disease Progression Modeling
Tingsong Xiao
Y. Lee
Zelin Xu
Yupu Zhang
Zibo Liu
Yu-Hao Huang
Jiang Bian
S. Guo
Zhe Jiang
AI4CE
131
0
0
20 Oct 2025
HyperSearch: Prediction of New Hyperedges through Unconstrained yet Efficient Search
Hyunjin Choo
Fanchen Bu
Hyunjin Hwang
Young-Gyu Yoon
Kijung Shin
122
0
0
20 Oct 2025
Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity
Fanchen Bu
Geon Lee
Minyoung Choe
Kijung Shin
159
1
0
25 Sep 2025
Broad Spectrum Structure Discovery in Large-Scale Higher-Order Networks
John Hood
Caterina De Bacco
Aaron Schein
GNN
400
3
0
27 May 2025
MARIOH: Multiplicity-Aware Hypergraph Reconstruction
IEEE International Conference on Data Engineering (ICDE), 2025
Kyuhan Lee
Geon Lee
Kijung Shin
337
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
254
1
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
314
64
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
217
21
0
31 Mar 2024
Hypergraph Node Representation Learning with One-Stage Message Passing
Neural Networks (Neural Netw.), 2023
Shilin Qu
Weiqing Wang
Yuanxin Li
Xin Zhou
Fajie Yuan
259
3
0
01 Dec 2023
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Yunyong Ko
Hanghang Tong
Sang-Wook Kim
314
5
0
11 Sep 2023
Classification of Edge-dependent Labels of Nodes in Hypergraphs
Knowledge Discovery and Data Mining (KDD), 2023
Minyoung Choe
Sunwoo Kim
Jaemin Yoo
Kijung Shin
GNN
332
21
0
05 Jun 2023
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Yumeng Song
Yu Gu
Tianyi Li
Jianzhong Qi
Zhenghao Liu
Christian S. Jensen
Ge Yu
SSL
232
35
0
10 Mar 2023
Generative Hypergraph Models and Spectral Embedding
Scientific Reports (Sci Rep), 2022
Xue Gong
D. Higham
K. Zygalakis
207
14
0
28 Jul 2022
Learning Causal Effects on Hypergraphs
Knowledge Discovery and Data Mining (KDD), 2022
Jing Ma
Mengting Wan
Longqi Yang
Jundong Li
Brent J. Hecht
J. Teevan
CML
220
68
0
07 Jul 2022
A Survey on Hyperlink Prediction
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Cang Chen
Yang-Yu Liu
3DV
AI4CE
283
59
0
06 Jul 2022
AHP: Learning to Negative Sample for Hyperedge Prediction
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Hyunjin Hwang
Seungwoo Lee
Chanyoung Park
Kijung Shin
327
47
0
13 Apr 2022
Self-Organized Polynomial-Time Coordination Graphs
Qianlan Yang
Weijun Dong
Zhizhou Ren
Jianhao Wang
Tonghan Wang
Chongjie Zhang
322
19
0
07 Dec 2021
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Devanshu Arya
D. K. Gupta
Stevan Rudinac
Marcel Worring
237
21
0
22 Sep 2021
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
International Conference on Information and Knowledge Management (CIKM), 2021
Junwei Zhang
Min Gao
Junliang Yu
Lei Guo
Jundong Li
Hongzhi Yin
264
160
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
467
116
0
01 Jul 2021
Neural Predicting Higher-order Patterns in Temporal Networks
The Web Conference (WWW), 2021
Yunyu Liu
Jianzhu Ma
Pan Li
392
38
0
10 Jun 2021
Hypergraph Pre-training with Graph Neural Networks
Boxin Du
Changhe Yuan
Robert A. Barton
T. Neiman
Hanghang Tong
AI4CE
175
15
0
23 May 2021
Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach
Manohar Kaul
Masaaki Imaizumi
126
1
0
06 Feb 2021
Unsupervised Joint
k
k
k
-node Graph Representations with Compositional Energy-Based Models
Neural Information Processing Systems (NeurIPS), 2020
Leonardo Cotta
Carlos H. C. Teixeira
A. Swami
Bruno Ribeiro
SSL
203
10
0
08 Oct 2020
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