Edge Representation Learning with Hypergraphs

30 June 2021

Papers citing "Edge Representation Learning with Hypergraphs"

22 / 22 papers shown

Title
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu Yanxiao Cai Minxing Zhang Xia Hu FAtt 381 0 0 15 Feb 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 232 0 0 22 Jan 2025
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach Giovanni Luca Marchetti Gabriele Cesa Kumar Pratik Arash Behboodi 107 2 0 14 Nov 2023
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery Yutong Xie Chence Shi Hao Zhou Yuwei Yang Weinan Zhang Yong Yu Lei Li 76 145 0 18 Mar 2021
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 74 283 0 27 Oct 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 207 819 0 16 Jul 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 85 393 0 22 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 277 2,725 0 02 May 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 376 939 0 02 Mar 2020
A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica Marco Podda D. Bacciu Alessio Micheli FaML 92 444 0 20 Dec 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations Ekagra Ranjan Soumya Sanyal Partha P. Talukdar GNN 140 331 0 18 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks Shikhar Vashishth Soumya Sanyal Vikram Nitin Partha P. Talukdar GNN 114 837 0 08 Nov 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 101 1,334 0 25 Jul 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 99 1,398 0 29 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 104 1,084 0 11 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 198 4,334 0 06 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 579 8,496 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 880 5,493 0 20 Dec 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 214 7,623 0 01 Oct 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 178 2,820 0 22 Jan 2018
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 178 4,807 0 17 Mar 2017
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 114 2,151 0 17 May 2016