HyperGCN: A New Method of Training Graph Convolutional Networks on
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HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

7 September 2018

Partha P. Talukdar

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Papers citing "HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs"

15 / 15 papers shown

Title
Adaptive Dual Channel Convolution Hypergraph Representation Learning for Technological Intellectual PropertyInternational Conference on Cloud Computing and Intelligence Systems (ICCCIS), 2022 Yuxin Liu Yawen Li Yingxia Shao Zeli Guan 118 0 0 12 Oct 2022
Learning Causal Effects on HypergraphsKnowledge Discovery and Data Mining (KDD), 2022 Jing Ma Mengting Wan Longqi Yang Jundong Li Brent J. Hecht J. Teevan CML 138 56 0 07 Jul 2022
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation M. Vijaikumar Deepesh V. Hada S. Shevade 114 5 0 04 Oct 2021
Universal Approximation of Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Michael A. Osborne Ingmar Posner PINN 386 72 0 05 Jul 2021
Learning Multi-Granular Hypergraphs for Video-Based Person Re-IdentificationComputer Vision and Pattern Recognition (CVPR), 2020 Manwen Liao Jie Qin Jiaxin Chen Li Liu Fan Zhu Ying Tai Ling Shao 143 151 0 30 Apr 2021
Knowledge Hypergraph Embedding Meets Relational AlgebraJournal of machine learning research (JMLR), 2021 Bahare Fatemi Perouz Taslakian David Vazquez David Poole 114 17 0 18 Feb 2021
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge PredictionThe Web Conference (WWW), 2020 Se-eun Yoon Hyungseok Song Kijung Shin Yung Yi 219 90 0 30 Jan 2020
A literature survey of matrix methods for data scienceGAMM-Mitteilungen (GAMM), 2019 Martin Stoll 199 22 0 17 Dec 2019
Hyper-SAGNN: a self-attention based graph neural network for hypergraphsInternational Conference on Learning Representations (ICLR), 2019 Ruochi Zhang Yuesong Zou Jian Ma GNN 238 214 0 06 Nov 2019
Knowledge Hypergraphs: Prediction Beyond Binary Relations Bahare Fatemi Perouz Taslakian David Vazquez David Poole 163 18 0 01 Jun 2019
Representation Learning for Dynamic Graphs: A SurveyJournal of machine learning research (JMLR), 2019 Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 262 534 0 27 May 2019
Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks Dominik Alfke Martin Stoll GNN 92 3 0 24 May 2019
Random Walks on Hypergraphs with Edge-Dependent Vertex WeightsInternational Conference on Machine Learning (ICML), 2019 Uthsav Chitra Benjamin J. Raphael 193 122 0 20 May 2019
Revisiting Decomposable Submodular Function Minimization with Incidence RelationsNeural Information Processing Systems (NeurIPS), 2018 Pan Li O. Milenkovic 246 19 0 10 Mar 2018
Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral ClusteringInternational Conference on Machine Learning (ICML), 2018 Pan Li O. Milenkovic 198 116 0 10 Mar 2018