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Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering

10 March 2018

Papers citing "Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering"

38 / 38 papers shown

Title
Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality Zihao Li Dongqi Fu Hengyu Liu Jingrui He 89 4 0 23 Oct 2024
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks Shuai Wang David W. Zhang Jia-Hong Huang Stevan Rudinac Monika Kackovic Nachoem Wijnberg Marcel Worring 60 1 0 22 May 2024
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting Yusheng Zhao Xiao Luo Wei Ju C. L. Philip Chen Xiansheng Hua Ming Zhang AI4TS 91 27 0 21 Sep 2023
CAT-Walk: Inductive Hypergraph Learning via Set Walks Ali Behrouz Farnoosh Hashemi Sadaf Sadeghian Margo Seltzer 79 16 0 19 Jun 2023
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian Yu Zhu Boning Li Santiago Segarra 102 3 0 30 Apr 2023
Seven open problems in applied combinatorics Sinan G. Aksoy Ryan Bennink Yuzhou Chen José Frías Yulia R. Gel ... Anthony V. Petyuk Sandip Roy I. Segovia-Dominguez Nate Veldt Stephen J. Young 113 4 0 20 Mar 2023
Exact Inference in High-order Structured Prediction Chuyang Ke Jean Honorio 48 3 0 07 Feb 2023
Cheeger Inequalities for Directed Graphs and Hypergraphs Using Reweighted Eigenvalues L. Lau Kam Chuen Tung Robert Wang 83 7 0 17 Nov 2022
Hypergraphs with Edge-Dependent Vertex Weights: p-Laplacians and Spectral Clustering Yu Zhu Santiago Segarra 58 3 0 15 Aug 2022
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 98 35 0 14 Jul 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound Adrián Arnaiz-Rodríguez Ahmed Begga Francisco Escolano Nuria Oliver 91 67 0 15 Jun 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs Dongjin Lee Kijung Shin 81 38 0 09 Jun 2022
Finding Bipartite Components in Hypergraphs Peter Macgregor He Sun 121 2 0 05 May 2022
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel $k$ -means, and Heat Kernel Shota Saito 107 3 0 18 Mar 2022
Sparsification of Decomposable Submodular Functions Akbar Rafiey Yuichi Yoshida 117 9 0 18 Jan 2022
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 118 133 0 24 Jun 2021
What are higher-order networks? C. Bick Elizabeth Gross Heather A. Harrington Michael T. Schaub 168 288 0 20 Apr 2021
A nonlinear diffusion method for semi-supervised learning on hypergraphs Francesco Tudisco Konstantin Prokopchik Austin R. Benson 118 12 0 27 Mar 2021
Local Hyper-Flow Diffusion Kimon Fountoulakis Pan Li Shenghao Yang 115 16 0 16 Feb 2021
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond Michael T. Schaub Yu Zhu Jean-Baptiste Seby T. Roddenberry Santiago Segarra 210 149 0 14 Jan 2021
Hypergraph Partitioning using Tensor Eigenvalue Decomposition Deepak Maurya Balaraman Ravindran 98 4 0 16 Nov 2020
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering Meng Liu D. Gleich 53 13 0 15 Jun 2020
Hypergraph Clustering Based on PageRank Yuuki Takai Atsushi Miyauchi Masahiro Ikeda Yuichi Yoshida 105 52 0 15 Jun 2020
Nonlinear Higher-Order Label Spreading Francesco Tudisco Austin R. Benson Konstantin Prokopchik 77 33 0 08 Jun 2020
$p$ -Norm Flow Diffusion for Local Graph Clustering Kimon Fountoulakis Di Wang Shenghao Yang 141 27 0 20 May 2020
Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion Chaoqi Yang Ruijie Wang Shuochao Yao Tarek Abdelzaher 123 35 0 11 May 2020
Motif-Based Spectral Clustering of Weighted Directed Networks W. Underwood Andrew Elliott Mihai Cucuringu 61 12 0 02 Apr 2020
Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs Nate Veldt Anthony Wirth D. Gleich 46 4 0 21 Feb 2020
Minimizing Localized Ratio Cut Objectives in Hypergraphs Nate Veldt Austin R. Benson Jon M. Kleinberg 43 7 0 21 Feb 2020
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs S. Bandyopadhyay Kishalay Das M. Murty GNN 118 32 0 09 Feb 2020
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights Carl Yang Yichen Feng Pan Li Yu Shi Jiawei Han 74 42 0 29 Sep 2019
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights Uthsav Chitra Benjamin J. Raphael 122 100 0 20 May 2019
Quadratic Decomposable Submodular Function Minimization: Theory and Practice (Computation and Analysis of PageRank over Hypergraphs) Pan Li Niao He O. Milenkovic 111 26 0 26 Feb 2019
$HS^2$ : Active Learning over Hypergraphs Eli Chien Huozhi Zhou Pan Li 68 4 0 25 Nov 2018
Motif and Hypergraph Correlation Clustering A. Mostayed Gregory J. Puleo O. Milenkovic 148 24 0 05 Nov 2018
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs N. Yadati M. Nimishakavi Prateek Yadav Vikram Nitin Anand Louis Partha P. Talukdar GNN 171 37 0 07 Sep 2018
Quadratic Decomposable Submodular Function Minimization Pan Li Niao He O. Milenkovic 112 14 0 26 Jun 2018
Revisiting Decomposable Submodular Function Minimization with Incidence Relations Pan Li O. Milenkovic 123 19 0 10 Mar 2018