Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications

2 January 2020

Papers citing "Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications"

27 / 27 papers shown

Title
The huge Package for High-dimensional Undirected Graph Estimation in R T. Zhao Han Liu Kathryn Roeder John D. Lafferty Larry A. Wasserman 34 480 0 26 Jun 2020
Local Graph Clustering with Network Lasso A. Jung Yasmin SarcheshmehPour 20 272 0 25 Apr 2020
GraphSAC: Detecting anomalies in large-scale graphs V. Ioannidis Dimitris Berberidis G. Giannakis 27 29 0 21 Oct 2019
A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks D. Bacciu Luigi Di Sotto GNN 19 26 0 07 Sep 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems Jiani Zhang Xingjian Shi Shenglin Zhao Irwin King 33 225 0 27 May 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 229 8,441 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 246 5,457 0 20 Dec 2018
Learning graphs from data: A signal representation perspective Xiaowen Dong D. Thanou Michael G. Rabbat P. Frossard 55 378 0 03 Jun 2018
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing D. Bacciu Federico Errica Alessio Micheli BDL GNN 29 73 0 27 May 2018
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs V. Ioannidis Yanning Shen G. Giannakis 46 57 0 16 May 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang Xingjian Shi Junyuan Xie Hao Ma Irwin King Dit-Yan Yeung GNN 60 573 0 20 Mar 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 216 19,902 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 264 15,066 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 192 7,388 0 04 Apr 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 299 1,813 0 25 Nov 2016
Learning heat diffusion graphs D. Thanou Xiaowen Dong D. Kressner P. Frossard 29 160 0 04 Nov 2016
Learning Sparse Graphs Under Smoothness Prior S. Chepuri Sijia Liu G. Leus Alfred Hero 21 132 0 12 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 301 28,795 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 177 7,622 0 30 Jun 2016
How to learn a graph from smooth signals Vassilis Kalofolias 41 509 0 11 Jan 2016
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 198 3,271 0 17 Nov 2015
The CTU Prague Relational Learning Repository Jan Motl Oliver Schulte 32 0 0 10 Nov 2015
Diffusion-Convolutional Neural Networks James Atwood Don Towsley GNN DiffM 76 1,248 0 06 Nov 2015
Learning Laplacian Matrix in Smooth Graph Signal Representations Xiaowen Dong D. Thanou P. Frossard P. Vandergheynst 61 28 0 30 Jun 2014
Estimation of positive definite M-matrices and structure learning for attractive Gaussian Markov Random fields M. Slawski Matthias Hein 79 104 0 26 Apr 2014
Learning parametric dictionaries for graph signals D. Thanou D. Shuman P. Frossard 37 118 0 05 Jan 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 50 4,856 0 21 Dec 2013