Multiple Kernel Representation Learning on Networks

9 June 2021

Papers citing "Multiple Kernel Representation Learning on Networks"

26 / 26 papers shown

Title
Topic-aware latent models for representation learning on networks Abdulkadir Çelikkanat Fragkiskos D. Malliaros BDL 42 5 0 10 Nov 2021
GraphKKE: Graph Kernel Koopman Embedding for Human Microbiome Analysis K. Melnyk Stefan Klus G. Montavon Tim Conrad 23 11 0 12 Aug 2020
InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity Sudhanshu Chanpuriya Cameron Musco 51 28 0 29 May 2020
Exponential Family Graph Embeddings Abdulkadir Çelikkanat Fragkiskos D. Malliaros 45 13 0 20 Nov 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 56 23 0 06 Oct 2019
Fast and Accurate Network Embeddings via Very Sparse Random Projection Haochen Chen Syed Fahad Sultan Yingtao Tian Muhao Chen Steven Skiena 44 89 0 30 Aug 2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization J. Qiu Yuxiao Dong Hao Ma Jun Yu Li Chi Wang Kuansan Wang Jie Tang 54 173 0 26 Jun 2019
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts Alessandro Epasto Bryan Perozzi 47 103 0 06 May 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 133 418 0 28 Mar 2019
TNE: A Latent Model for Representation Learning on Networks Abdulkadir Çelikkanat Fragkiskos D. Malliaros 29 3 0 16 Oct 2018
BiasedWalk: Biased Sampling for Representation Learning on Graphs Duong Nguyen Fragkiskos D. Malliaros 24 17 0 07 Sep 2018
Billion-scale Network Embedding with Iterative Random Projection Ziwei Zhang Peng Cui Haoyang Li Tianlin Li Wenwu Zhu 115 82 0 07 May 2018
Adaptive Diffusions for Scalable Learning over Graphs Dimitris Berberidis A. Nikolakopoulos G. Giannakis GNN 56 37 0 05 Apr 2018
VERSE: Versatile Graph Embeddings from Similarity Measures Anton Tsitsulin Davide Mottin Panagiotis Karras Emmanuel Müller 58 269 0 13 Mar 2018
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications Xiao Fu Kejun Huang N. Sidiropoulos Wing-Kin Ma 53 203 0 03 Mar 2018
Network Representation Learning: A Survey Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang GNN AI4TS 82 622 0 04 Dec 2017
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec J. Qiu Yuxiao Dong Hao Ma Jian Li Kuansan Wang Jie Tang 74 917 0 09 Oct 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 169 1,976 0 17 Sep 2017
Kernel-based Reconstruction of Space-time Functions on Dynamic Graphs Daniel Romero V. Ioannidis G. Giannakis 29 88 0 12 Dec 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 186 10,873 0 03 Jul 2016
Kernel-based Reconstruction of Graph Signals Daniel Romero Meng Ma G. Giannakis 55 182 0 23 May 2016
Kernel-Based Structural Equation Models for Topology Identification of Directed Networks Yanning Shen Brian Baingana G. Giannakis 36 90 0 10 May 2016
LINE: Large-scale Information Network Embedding Jian Tang Meng Qu Mingzhe Wang Ming Zhang Jun Yan Qiaozhu Mei GNN 138 5,335 0 12 Mar 2015
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 254 9,789 0 26 Mar 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 392 33,521 0 16 Oct 2013
Graph Kernels S.V.N. Vishwanathan Karsten Borgwardt I. Kondor N. Schraudolph 147 1,206 0 01 Jul 2008