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Local Pattern Detection in Attributed Graphs
[chapter]
2016
Lecture Notes in Computer Science
We propose to mine the topology of a large attributed graph by finding regularities among vertex descriptors. Such descriptors are of two types: (1) the vertex attributes that convey the information of the vertices themselves and (2) some topological properties used to describe the connectivity of the vertices. These descriptors are mostly of numerical or ordinal types and their similarity can be captured by quantifying their co-variation. Mining topological patterns relies on frequent pattern
doi:10.1007/978-3-319-41706-6_8
fatcat:hotg2gtv3jawhf7hdbsu4o4zi4