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

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

30 January 2020
Se-eun Yoon
Hyungseok Song
Kijung Shin
Yung Yi
ArXivPDFHTML

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

6 / 6 papers shown
Title
MARIOH: Multiplicity-Aware Hypergraph Reconstruction
MARIOH: Multiplicity-Aware Hypergraph Reconstruction
Kyuhan Lee
Geon Lee
Kijung Shin
54
0
0
01 Apr 2025
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors
Jun-Gi Jang
Jingrui He
A. Margenot
Hanghang Tong
38
0
0
14 Mar 2025
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning
Yunyong Ko
Hanghang Tong
Sang-Wook Kim
24
0
0
11 Sep 2023
Learning Causal Effects on Hypergraphs
Learning Causal Effects on Hypergraphs
Jing Ma
Mengting Wan
Longqi Yang
Jundong Li
Brent J. Hecht
J. Teevan
CML
27
48
0
07 Jul 2022
A Survey on Hyperlink Prediction
A Survey on Hyperlink Prediction
Cang Chen
Yang-Yu Liu
3DV
AI4CE
17
40
0
06 Jul 2022
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
54
94
0
01 Jul 2021
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