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CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment

CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment

Jing Zhu
Danai Koutra
Mark Heimann
ArXiv (abs)PDFHTML

Papers citing "CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment"

5 / 5 papers shown
Title
G-CREWE: Graph CompREssion With Embedding for Network Alignment
G-CREWE: Graph CompREssion With Embedding for Network Alignment
K. K. Qin
Flora D. Salim
Yongli Ren
Wei Shao
Mark Heimann
Danai Koutra
GNN
30
28
0
30 Jul 2020
KerGM: Kernelized Graph Matching
KerGM: Kernelized Graph Matching
Zhen Zhang
Yijian Xiang
Lingfei Wu
Bing Xue
A. Nehorai
32
31
0
25 Nov 2019
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding
Chenhui Deng
Zhiqiang Zhao
Yongyu Wang
Zhiru Zhang
Zhuo Feng
75
106
0
06 Oct 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu
Dixin Luo
H. Zha
Lawrence Carin
97
260
0
17 Jan 2019
MILE: A Multi-Level Framework for Scalable Graph Embedding
MILE: A Multi-Level Framework for Scalable Graph Embedding
Jiongqian Liang
Saket Gurukar
Srinivas Parthasarathy
GNN
57
78
0
26 Feb 2018

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