Title
Frontier-Based Search For Enumerating All Constrained Subgraphs With Compressed Representation
Abstract
For subgraph enumeration problems, very efficient algorithms have been proposed whose time complexities are far smaller than the number of subgraphs. Although the number of subgraphs can exponentially increase with the input graph size, these algorithms exploit compressed representations to output and maintain enumerated subgraphs compactly so as to reduce the time and space complexities. However, they are designed for enumerating only some specific types of subgraphs, e.g., paths or trees. In this paper, we propose an algorithm framework, called the frontier-based search, which generalizes these specific algorithms without losing their efficiency. Our frontier-based search will be used to resolve various practical problems that include constrained subgraph enumeration.
Year
DOI
Venue
2017
10.1587/transfun.E100.A.1773
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
Keywords
Field
DocType
zero-suppressed binary decision diagram, froniter-based search, enumeration algorithm, subgraph
Graph,Discrete mathematics,Enumeration,Exploit,Theoretical computer science,Time complexity,Enumeration algorithm,Frontier,Mathematics
Journal
Volume
Issue
ISSN
E100A
9
1745-1337
Citations 
PageRank 
References 
5
0.56
9
Authors
4
Name
Order
Citations
PageRank
Jun Kawahara1348.82
Takeru Inoue217619.11
Hiroaki Iwashita3899.62
Shin-ichi Minato472584.72