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ISCI
2007
170views more  ISCI 2007»
14 years 11 months ago
Automatic learning of cost functions for graph edit distance
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
Michel Neuhaus, Horst Bunke
GD
2006
Springer
15 years 3 months ago
SSDE: Fast Graph Drawing Using Sampled Spectral Distance Embedding
Abstract. We present a fast spectral graph drawing algorithm for drawing undirected connected graphs. Classical Multi-Dimensional Scaling yields a quadratictime spectral algorithm,...
Ali Civril, Malik Magdon-Ismail, Eli Bocek-Rivele
JCT
2008
100views more  JCT 2008»
14 years 11 months ago
Optimal distortion embeddings of distance regular graphs into Euclidean spaces
ABSTRACT. In this paper we give a lower bound for the least distortion embedding of a distance regular graph into Euclidean space. We use the lower bound for finding the least dist...
Frank Vallentin
ICML
2010
IEEE
15 years 27 days ago
Fast Neighborhood Subgraph Pairwise Distance Kernel
We introduce a novel graph kernel called the Neighborhood Subgraph Pairwise Distance Kernel. The kernel decomposes a graph into all pairs of neighborhood subgraphs of small radius...
Fabrizio Costa, Kurt De Grave
COMBINATORICS
2002
83views more  COMBINATORICS 2002»
14 years 11 months ago
Identifying Codes with Small Radius in Some Infinite Regular Graphs
Let G = (V, E) be a connected undirected graph and S a subset of vertices. If for all vertices v V , the sets Br(v) S are all nonempty and different, where Br(v) denotes the set...
Irène Charon, Olivier Hudry, Antoine Lobste...