Scalable Global Alignment Graph Kernel Using Random Features: From Node
Embedding to Graph Embedding

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

25 November 2019

Kun Xu

Charu C. Aggarwal

ArXiv (abs)PDF HTML

Papers citing "Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding"

18 / 18 papers shown

Title
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels Rami Al-Rfou Dustin Zelle Bryan Perozzi 48 57 0 21 Apr 2019
Random Warping Series: A Random Features Method for Time-Series Embedding Lingfei Wu Ian En-Hsu Yen Jinfeng Yi Fangli Xu Qi Lei Michael Witbrock AI4TS 50 49 0 14 Sep 2018
Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability Lingfei Wu Ian En-Hsu Yen Jie Chen Rui Yan 42 37 0 14 Sep 2018
RetGK: Graph Kernels based on Return Probabilities of Random Walks Zhen Zhang Mianzhi Wang Yijian Xiang Yuanmin Huang A. Nehorai 98 106 0 07 Sep 2018
Scalable Spectral Clustering Using Random Binning Features Lingfei Wu Pin-Yu Chen Ian En-Hsu Yen Fangli Xu Yinglong Xia Charu C. Aggarwal 76 38 0 25 May 2018
D2KE: From Distance to Kernel and Embedding Lingfei Wu Ian En-Hsu Yen Fangli Xu Pradeep Ravikumar Michael Witbrock 63 30 0 14 Feb 2018
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model Bo Wu Yang Liu B. Lang Lei Huang 54 70 0 10 Dec 2017
Sparse Diffusion-Convolutional Neural Networks James Atwood Siddharth Pal Don Towsley A. Swami GNN 38 10 0 26 Oct 2017
Revisiting Spectral Graph Clustering with Generative Community Models Pin-Yu Chen Lingfei Wu 96 12 0 14 Sep 2017
PRIMME_SVDS: A High-Performance Preconditioned SVD Solver for Accurate Large-Scale Computations Lingfei Wu E. Romero A. Stathopoulos 45 55 0 05 Jul 2016
On Valid Optimal Assignment Kernels and Applications to Graph Classification Nils M. Kriege Pierre-Louis Giscard Richard C. Wilson 90 215 0 03 Jun 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 143 2,154 0 17 May 2016
The Multiscale Laplacian Graph Kernel Risi Kondor Horace Pan 73 176 0 20 Mar 2016
Generalization Properties of Learning with Random Features Alessandro Rudi Lorenzo Rosasco MLT 86 331 0 14 Feb 2016
Diffusion-Convolutional Neural Networks James Atwood Don Towsley GNN DiffM 197 1,256 0 06 Nov 2015
Fastfood: Approximate Kernel Expansions in Loglinear Time Quoc V. Le Tamás Sarlós Alex Smola 95 445 0 13 Aug 2014
Graph Kernels S.V.N. Vishwanathan Karsten Borgwardt I. Kondor N. Schraudolph 149 1,206 0 01 Jul 2008
A Tutorial on Spectral Clustering U. V. Luxburg 290 10,544 0 01 Nov 2007