机构:
Vrije Univ Amsterdam, PARIS Res Program, Dept Sociol, Amsterdam, NetherlandsVrije Univ Amsterdam, PARIS Res Program, Dept Sociol, Amsterdam, Netherlands
Elzinga, Cees H.
[1
]
Wang, Hui
论文数: 0引用数: 0
h-index: 0
机构:
Univ Ulster, Comp Sci Res Inst, Sch Comp & Math, Coleraine BT52 1SA, Londonderry, North IrelandVrije Univ Amsterdam, PARIS Res Program, Dept Sociol, Amsterdam, Netherlands
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
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.