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Statistical and Machine Learning Approaches for Network Analysis
book

Statistical and Machine Learning Approaches for Network Analysis

by Matthias Dehmer, Subhash C. Basak
August 2012
Intermediate to advanced content levelIntermediate to advanced
344 pages
10h 30m
English
Wiley
Content preview from Statistical and Machine Learning Approaches for Network Analysis

8.5 Tree-Pattern Graph Kernels

Tree-based graph kernels [55] compare subtrees of graphs.

8.5.1 Definition

Let G = (V, E) be a graph and let T = (W, F), img be a rooted directed tree. A tree pattern of G with respect to T consists of vertices img such that

(8.14) equation

Each vertex img in the tree is assigned a vertex img in the graph such that edges and labels match. The img need not be distinct, as long as vertices assigned to sibling vertices in T are distinct (Fig. 8.3). The tree pattern counting functionψ(G, T) returns the number of times the tree pattern T occurs in the graph G, that is, the number of distinct tuples img that are tree patterns of T in G.

Figure 8.3 Tree patterns. Shown are the annotated graph of acetic acid (a) and a tree pattern contained in it (b). Numbers indicate assigned vertices. Note that ...

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ISBN: 9781118346983Purchase book