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ICPR
2004
IEEE
15 years 10 months ago
A Probabilistic Approach to Learning Costs for Graph Edit Distance
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...
Horst Bunke, Michel Neuhaus
GBRPR
2007
Springer
15 years 3 months ago
Bipartite Graph Matching for Computing the Edit Distance of Graphs
In the field of structural pattern recognition graphs constitute a very common and powerful way of representing patterns. In contrast to string representations, graphs allow us to ...
Kaspar Riesen, Michel Neuhaus, Horst Bunke
ICDE
2006
IEEE
177views Database» more  ICDE 2006»
15 years 10 months ago
Searching Substructures with Superimposed Distance
Efficient indexing techniques have been developed for the exact and approximate substructure search in large scale graph databases. Unfortunately, the retrieval problem of structu...
Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu
ESA
2007
Springer
188views Algorithms» more  ESA 2007»
15 years 3 months ago
Fast and Compact Oracles for Approximate Distances in Planar Graphs
We present an experimental evaluation of an approximate distance oracle recently suggested by Thorup [1] for undirected planar graphs. The oracle uses the existence of graph separa...
Laurent Flindt Muller, Martin Zachariasen
GBRPR
2007
Springer
15 years 3 months ago
A Quadratic Programming Approach to the Graph Edit Distance Problem
In this paper we propose a quadratic programming approach to computing the edit distance of graphs. Whereas the standard edit distance is defined with respect to a minimum-cost ed...
Michel Neuhaus, Horst Bunke