SCPM: An implementation of an algorithm for structural correlation pattern mining.

The structural correlation measures how a set of attributes induces dense subgraphs in an attributed graph. A structural correlation pattern is a dense subgraph induced by a particular attribute set. Structural correlation pattern mining is useful to analyze how different attribute sets are correlated to dense subgraphs in several real-life attributed graphs.

Relevant Publications

• Arlei Silva, Wagner Meira, Jr., and Mohammed J. Zaki. Structural correlation pattern mining for large graphs. In Proceedings of the Eighth Workshop on Mining and Learning with Graphs (MLG '10).

• Arlei Silva, Wagner Meira, Jr., and Mohammed J. Zaki. Mining Attribute-structure Correlated Patterns in Large Attributed Graphs. In Proceedings of the VLDB Endowment (PVLDB '12).

• Arlei Silva. Structural correlation pattern mining for large graphs. M.Sc Thesis, Computer Science Department, Universidade Federal de Minas Gerais, 2011.

• Arlei Silva, Wagner Meira Jr. Structural correlation pattern mining for large graphs. Thesis and Dissertation Contest of the Brazilian Computer Society (CTD'12).

HOW TO

cd to trunk and run make see README in trunk

Datasets:

Description:

ATTRIBUTE FILE:

Format: Lists the attributes of each vertex from the graph.

<VERTEX_ID>,<ATTRIBUTE_ID>,<ATTRIBUTE_ID>...,<ATTRIBUTE_ID>

    Example: 
    1,A,C 
    2,A 
    3,A,C,D 
    4,A,D 
    5,A,E 
    6,A,B,C 
    7,A,B,E 
    8,A,B 
    9,A,B 
    10,A,B,D 
    11,A,B

GRAPH FILE:

Format: Lists the neighbors of each vertex from the graph (adjacency list). Although the graph is undirected, each edge must be included in both directions.

<VERTEX_ID>,<NEIGHBOR_ID>,<NEIGHBOR_ID>...,<NEIGHBOR_ID> 

    Example: 
    1,4 
    2,3 
    3,2,4,5,6,7 
    4,1,3,5,6 
    5,3,4,6 
    6,3,4,5,7,8,9,10 
    7,3,6,8,11 
    8,6,7,9,10,11 
    9,6,8,10,11 
    10,6,8,9,11 
    11,7,8,9,10

REAL DATASETS

For the datasets below see Zenodo: https://zenodo.org/record/3732153

Lastfm:

attributes: attrLastFm.csv.tar.bz2*

network: graphLastFm.csv.tar.gz*

DBLP:

attributes: newAttrDBLP.csv.tar.bz2*

network: newGraphDBLP.csv.tar.bz2*

CITESEER:

attributes: attrCiteseer.csv.tar.bz2*

network: graphCiteseer.csv.tar.bz2*