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Sheaf Hypergraph Networks

29 September 2023

Papers citing "Sheaf Hypergraph Networks"

36 / 36 papers shown

Title
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning Hao Wang Shuo Zhang Biao Leng ViT 262 1 0 03 Apr 2025
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems Antonio Purificato Giulia Cassara F. Siciliano Pietro Lio Fabrizio Silvestri 37 5 0 07 Apr 2023
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks Xinyi Wu Zhengdao Chen W. Wang Ali Jadbabaie 81 45 0 21 Dec 2022
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 82 35 0 14 Jul 2022
Sheaf Neural Networks with Connection Laplacians Federico Barbero Cristian Bodnar Haitz Sáez de Ocáriz Borde Michael M. Bronstein Petar Velivcković Pietro Lio 61 43 0 17 Jun 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 118 26 0 24 May 2022
Preventing Over-Smoothing for Hypergraph Neural Networks Guan-Wun Chen Jiying Zhang Xi Xiao Yang Li 58 23 0 31 Mar 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar Francesco Di Giovanni B. Chamberlain Pietro Lio Michael M. Bronstein 88 183 0 09 Feb 2022
HEAT: Hyperedge Attention Networks Dobrik Georgiev Marc Brockschmidt Miltiadis Allamanis GNN 103 17 0 28 Jan 2022
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 100 133 0 24 Jun 2021
Learnable Hypergraph Laplacian for Hypergraph Learning Jiying Zhang Yuzhao Chen Xiong Xiao Runiu Lu Shutao Xia 59 29 0 10 Jun 2021
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks Jing Huang Jie Yang AI4CE GNN 54 176 0 03 May 2021
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification Yichao Yan Jie Qin Jiaxin Chen Li Liu Fan Zhu Ying Tai Ling Shao 50 134 0 30 Apr 2021
Predicting Patient Outcomes with Graph Representation Learning Emma Rocheteau Catherine Tong Petar Velickovic Nicholas D. Lane Pietro Lio 76 48 0 11 Jan 2021
Sheaf Neural Networks J. Hansen Thomas Gebhart GNN 43 42 0 08 Dec 2020
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs Devanshu Arya D. K. Gupta Stevan Rudinac Marcel Worring 62 78 0 09 Oct 2020
HNHN: Hypergraph Networks with Hyperedge Neurons Yihe Dong W. Sawin Yoshua Bengio GNN 47 133 0 22 Jun 2020
Nonlinear Higher-Order Label Spreading Francesco Tudisco Austin R. Benson Konstantin Prokopchik 57 33 0 08 Jun 2020
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks Kexin Huang C. Xiao Lucas Glass Marinka Zitnik Jimeng Sun GNN 59 122 0 30 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 541 42,591 0 03 Dec 2019
Fake News Detection on Social Media using Geometric Deep Learning Federico Monti Fabrizio Frasca D. Eynard Damon Mannion M. Bronstein GNN 93 469 0 10 Feb 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 95 626 0 23 Jan 2019
Hypergraph Neural Networks Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji Yue Gao GNN 86 1,383 0 25 Sep 2018
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 156 159 0 23 Jul 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 266 3,550 0 06 Jun 2018
Videos as Space-Time Region Graphs Xinyu Wang Abhinav Gupta 106 756 0 05 Jun 2018
Hypergraph $p$ -Laplacian: A Differential Geometry View Shota Saito Danilo P. Mandic Hideyuki Suzuki 38 38 0 22 Nov 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Ting Yu Haoteng Yin Zhanxing Zhu GNN AI4TS 140 3,728 0 14 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 783 132,363 0 12 Jun 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 194 4,831 0 17 Mar 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 421 2,478 0 10 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 659 29,154 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 358 7,671 0 30 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 230 4,884 0 21 Dec 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited Matthias Hein S. Setzer Leonardo Jost Syama Sundar Rangapuram 73 163 0 18 Dec 2013