Comparing performance of graph matching algorithms on huge graphs-Reference-Cited by-同舟云学术

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Comparing performance of graph matching algorithms on huge graphs

Published:2020-06 Issue: Volume:134 Page:58-67
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Carletti Vincenzo^ORCID,Foggia Pasquale^ORCID,Greco Antonio^ORCID,Saggese Alessia^ORCID,Vento Mario

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference31 articles.

1. Quick mining of isomorphic exact large patterns from large graphs;Almasri,2014

2. Scoring−Based Neighborhood Dominance for the Subgraph Isomorphism Problem;Audemard,2014

3. An Algorithm Portfolio for the Sub−graph Isomorphism Problem;Battiti,2007

4. Complex networks: structure and dynamics;Boccaletti;Phys. Rep.,2006

5. A subgraph isomorphism algorithm and its application to biochemical data;Bonnici;BMC Bioinf.,2013

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2. Topology change detection in networks due to false data injections: a priori assessment based on graph matching techniques;Life Cycle Reliability and Safety Engineering;2024-04-10

3. TOPOLOGY CHANGE DETECTION IN NETWORKS DUE TO FALSE DATA INJECTIONS: A PRIORI ASSESSMENT BASED ON GRAPH MATCHING TECHNIQUES;SSRN Electronic Journal;2024

4. Detecting dynamic patterns in dynamic graphs using subgraph isomorphism;Pattern Analysis and Applications;2023-02-27

5. A Generalized Community-Structure-Aware Optimization Framework for Efficient Subgraph Matching in Social Network Analysis;IEEE Transactions on Computational Social Systems;2023

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