The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited

18 December 2013

Matthias Hein

S. Setzer

Leonardo Jost

Syama Sundar Rangapuram

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Papers citing "The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited"

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Title
Scalable Hypergraph Structure Learning with Diverse Smoothness Priors Benjamin T. Brown Haoxiang Zhang Daniel L. Lau Gonzalo R. Arce 121 0 0 04 Apr 2025
Hypergraph clustering using Ricci curvature: an edge transport perspective Olympio Hacquard 94 1 0 20 Dec 2024
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
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation Yiran Li Gongyao Guo Jieming Shi Renchi Yang Shiqi Shen Qing Li Jun Luo 64 3 0 10 Aug 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 95 3 0 18 Jun 2024
Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node Classification Yijia Zheng Marcel Worring DiffM 74 3 0 23 May 2024
Hypergraph Self-supervised Learning with Sampling-efficient Signals Fan Li Xiaoyang Wang Dawei Cheng Wenjie Zhang Ying Zhang Xuemin Lin SSL 69 3 0 18 Apr 2024
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design Lev Telyatnikov Maria Sofia Bucarelli Guillermo Bernardez Olga Zaghen Simone Scardapane Pietro Lio 112 11 0 11 Oct 2023
Sheaf Hypergraph Networks Iulia Duta Giulia Cassara Fabrizio Silvestri Pietro Lio 70 23 0 29 Sep 2023
Hypergraph Structure Inference From Data Under Smoothness Prior Bohan Tang Siheng Chen Xiaowen Dong 201 5 0 27 Aug 2023
CAT-Walk: Inductive Hypergraph Learning via Set Walks Ali Behrouz Farnoosh Hashemi Sadaf Sadeghian Margo Seltzer 79 16 0 19 Jun 2023
Multi-class Graph Clustering via Approximated Effective $p$ -Resistance Shota Saito Mark Herbster 48 4 0 14 Jun 2023
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs Sara Venturini Andrea Cristofari Francesco Rinaldi Francesco Tudisco 39 5 0 31 May 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
Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks Mathilde Papillon Sophia Sanborn Mustafa Hajij Nina Miolane 3DV AI4CE 114 36 0 20 Apr 2023
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent Sara Venturini Andrea Cristofari Francesco Rinaldi Francesco Tudisco 58 2 0 28 Jan 2023
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks Ujun Jeong Kaize Ding Lu Cheng Ruocheng Guo Kai Shu Huan Liu GNN 53 21 0 24 Dec 2022
Hypergraph Transformer for Skeleton-based Action Recognition Yuxuan Zhou Zhi-Qi Cheng Chong Li Yanwen Fang Yifeng Geng Xuansong Xie Margret Keuper ViT 91 60 0 17 Nov 2022
Hypergraphs with Edge-Dependent Vertex Weights: p-Laplacians and Spectral Clustering Yu Zhu Santiago Segarra 63 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
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
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification Angelica I. Aviles-Rivero Christina Runkel Nicolas Papadakis Zoe Kourtzi Carola-Bibiane Schönlieb DiffM MedIm 78 22 0 04 Apr 2022
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs Jiying Zhang Fuyang Li Xi Xiao Tingyang Xu Yu Rong Junzhou Huang Yatao Bian GNN 63 24 0 31 Mar 2022
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel $k$ -means, and Heat Kernel Shota Saito 107 3 0 18 Mar 2022
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs Devanshu Arya D. K. Gupta Stevan Rudinac Marcel Worring 87 13 0 22 Sep 2021
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
Regularized Recovery by Multi-order Partial Hypergraph Total Variation Ruyuan Qu Jiaqi He Hui Feng Chongbin Xu Bo Hu 34 0 0 19 Feb 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
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs Devanshu Arya D. K. Gupta Stevan Rudinac Marcel Worring 71 78 0 09 Oct 2020
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays Angelica I Aviles-Rivero P. Sellars Carola-Bibiane Schönlieb Nicolas Papadakis DiffM MedIm SSL 73 30 0 30 Sep 2020
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs Dominik Alfke Martin Stoll GNN 50 5 0 03 Aug 2020
Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix Vector Products Kai Bergermann Martin Stoll Toni Volkmer 21 10 0 10 Jul 2020
Nonlinear Higher-Order Label Spreading Francesco Tudisco Austin R. Benson Konstantin Prokopchik 77 33 0 08 Jun 2020
Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion Chaoqi Yang Ruijie Wang Shuochao Yao Tarek Abdelzaher 126 35 0 11 May 2020
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning Zhenzhang Ye Thomas Möllenhoff Tao Wu Daniel Cremers 16 3 0 27 Feb 2020
Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs Nate Veldt Anthony Wirth D. Gleich 49 4 0 21 Feb 2020
Exact Partitioning of High-order Models with a Novel Convex Tensor Cone Relaxation Chuyang Ke Jean Honorio 35 1 0 06 Nov 2019
Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs Eli Chien P. Li O. Milenkovic 55 11 0 20 Oct 2019
Hypergraph Partitioning With Embeddings Justin Sybrandt Ruslan Shaydulin Ilya Safro 26 11 0 09 Sep 2019
$GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision$ GraphX $^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision Angelica I. Aviles-Rivero Nicolas Papadakis Ruoteng Li P. Sellars Qingnan Fan R. Tan Carola-Bibiane Schönlieb SSL 66 38 0 23 Jul 2019
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy Angelica I. Aviles-Rivero Nicolas Papadakis Ruoteng Li P. Sellars Samar M. Alsaleh R. Tan Carola-Bibiane Schönlieb 71 3 0 20 Jun 2019
Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks Dominik Alfke Martin Stoll GNN 48 3 0 24 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 71 4 0 25 Nov 2018
Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm Sam Cole Yizhe Zhu 54 27 0 16 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