Kernels for acyclic digraphs

被引:9
|
作者
Elzinga, Cees H. [1 ]
Wang, Hui [2 ]
机构
[1] Vrije Univ Amsterdam, PARIS Res Program, Dept Sociol, Amsterdam, Netherlands
[2] Univ Ulster, Comp Sci Res Inst, Sch Comp & Math, Coleraine BT52 1SA, Londonderry, North Ireland
关键词
Pattern recognition; Directed graph; Graph similarity; Graph kernel; Graph minors; Path and cycle in graphs; SUBGRAPH; INFORMATION; ALGORITHM;
D O I
10.1016/j.patrec.2012.07.017
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes two efficient kernels for comparing acyclic, directed graphs. The first kernel counts the number of common paths and allows for weighing according to path-length and/or according to the vertices contained in each particular path. The second kernel counts the number of paths in common minors of the graphs involved and allows for length- and vertex-weighting too. Both kernels have algorithmic complexity that is cubic in the size of the vertex-set. The performance of the algorithms is concisely demonstrated using synthetic and real data. (c) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:2239 / 2244
页数:6
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