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A graph representation based on fluid diffusion model for data analysis: theoretical aspects and enhanced community detection

7 December 2021

Papers citing "A graph representation based on fluid diffusion model for data analysis: theoretical aspects and enhanced community detection"

21 / 21 papers shown

Title
Graph Learning: A Survey Xiwei Xu Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 87 353 0 03 May 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 149 205 0 26 Feb 2021
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 75 166 0 31 Jul 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 91 694 0 09 Jun 2020
Deep Learning for Community Detection: Progress, Challenges and Opportunities Fanzhen Liu Shan Xue Hongzhi Zhang Chuan Zhou Wenbin Hu Cécile Paris Surya Nepal Jian Yang Philip S. Yu GNN 72 246 0 17 May 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 129 399 0 23 Apr 2020
Generalization and Representational Limits of Graph Neural Networks Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 101 314 0 14 Feb 2020
Cross-domain Network Representations Shan Xue Jie Lu Guangquan Zhang 53 16 0 01 Aug 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 244 3,182 0 19 Feb 2019
Learnable Manifold Alignment (LeMA) : A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification Danfeng Hong Naoto Yokoya N. Ge Jocelyn Chanussot Xiaoxiang Zhu 51 216 0 09 Jan 2019
Deep Network Embedding for Graph Representation Learning in Signed Networks X. Shen F. Chung GNN 49 89 0 07 Jan 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 783 8,566 0 03 Jan 2019
Beyond Pham's algorithm for joint diagonalization Pierre Ablin J. Cardoso Alexandre Gramfort 32 14 0 28 Nov 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 251 7,695 0 01 Oct 2018
Segmentation of Scanning Tunneling Microscopy Images Using Variational Methods and Empirical Wavelets Kevin Bui Jacob Fauman David Kes Leticia Torres Mandiola Adina Ciomaga Ricardo Salazar Andrea L. Bertozzi J. Gilles A. I. Guttentag P. Weiss 69 19 0 24 Apr 2018
Analysis of spectral clustering algorithms for community detection: the general bipartite setting Zhixin Zhou Arash A. Amini 97 96 0 12 Mar 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Multimodal Machine Learning: A Survey and Taxonomy T. Baltrušaitis Chaitanya Ahuja Louis-Philippe Morency 109 2,937 0 26 May 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 810 3,293 0 24 Nov 2016
A Review of Feature Selection Methods Based on Mutual Information J. Vergara P. Estévez 61 1,012 0 24 Sep 2015
A Tutorial on Spectral Clustering U. V. Luxburg 290 10,543 0 01 Nov 2007