CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment-Reference-Cited by-同舟云学术

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

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
language:
Short-container-title:

Author:

Zhu Jing¹,Koutra Danai¹,Heimann Mark²

Affiliation:

1. University of Michigan - Ann Arbor, Ann Arbor, MI, USA

2. Lawrence Livermore National Lab, Livermore, CA, USA

Funder

U.S. Department of Energy

NSF (National Science Foundation)

LLNL-LDRD

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557563

Reference20 articles.

1. CONE-Align

2. Chenhui Deng , Zhiqiang Zhao , Yongyu Wang , Zhiru Zhang , and Zhuo Feng . Graphzoom : A multi-level spectral approach for accurate and scalable graph embedding . In ICLR , 2020 . Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, and Zhuo Feng. Graphzoom: A multi-level spectral approach for accurate and scalable graph embedding. In ICLR, 2020.

3. Inderjit S Dhillon , Yuqiang Guan , and Brian Kulis . Weighted graph cuts without eigenvectors a multilevel approach . IEEE transactions on pattern analysis and machine intelligence, 29(11): 1944 --1957, 2007. Inderjit S Dhillon, Yuqiang Guan, and Brian Kulis. Weighted graph cuts without eigenvectors a multilevel approach. IEEE transactions on pattern analysis and machine intelligence, 29(11):1944--1957, 2007.

4. Refining Network Alignment to Improve Matched Neighborhood Consistency

5. REGAL

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