메뉴 건너뛰기




Volumn 21, Issue 3, 2010, Pages 401-414

Approach for efficient subgraph isomorphism testing for multiple graphs

Author keywords

Graph indexing; Graph matching; Preprocessing; Subgraph isomorphism

Indexed keywords

COMPUTATIONAL COSTS; CONSTRUCTION TIME; EXISTING METHOD; GRAPH INDEXING; GRAPH MATCHINGS; LARGE GRAPHS; LOOK-AHEAD; ORDER OF MAGNITUDE; STATE-OF-THE-ART METHODS; SUBGRAPH ISOMORPHISM;

EID: 77951012568     PISSN: 10009825     EISSN: None     Source Type: Journal    
DOI: 10.3724/SP.J.1001.2010.03478     Document Type: Article
Times cited : (7)

References (17)
  • 3
    • 0016870630 scopus 로고
    • An algorithm for subgraph isomorphism
    • Ullmann JR. An algorithm for subgraph isomorphism. Journal of the ACM, 1976, 23(1): 31-42.
    • (1976) Journal of the ACM , vol.23 , Issue.1 , pp. 31-42
    • Ullmann, J.R.1
  • 5
    • 0032708360 scopus 로고    scopus 로고
    • A decision tree approach to graph and subgraph isomorphism detection
    • Messmer BT, Bunke H. A decision tree approach to graph and subgraph isomorphism detection. Pattern Recognition, 1999, 32(12): 1979-1998.
    • (1999) Pattern Recognition , vol.32 , Issue.12 , pp. 1979-1998
    • Messmer, B.T.1    Bunke, H.2
  • 6
    • 0033685860 scopus 로고    scopus 로고
    • Efficient subgraph isomorphism detection: A decomposition approach
    • Messmer BT, Bunke H. Efficient subgraph isomorphism detection: A decomposition approach. IEEE Trans. on Knowledge and Data Engineering, 2000, 12(2): 307-323.
    • (2000) IEEE Trans. on Knowledge and Data Engineering , vol.12 , Issue.2 , pp. 307-323
    • Messmer, B.T.1    Bunke, H.2
  • 7
    • 85011024403 scopus 로고    scopus 로고
    • Towards graph containment search and indexing
    • Koch C., Gehrke J., Garofalakis M.N., Srivastava D., Aberer K., Deshpande A., Florescu D., Chan C.Y., Ganti V., Kanne C.C., Klas W. and Neuhold E.J. (ed.). Vienna: ACM
    • Chen C, Yan X, Yu PS, Han J, Zhang DQ, Gu X. Towards graph containment search and indexing. In: Koch C, Gehrke J, Garofalakis MN, Srivastava D, Aberer K, Deshpande A, Florescu D, Chan CY, Ganti V, Kanne CC, Klas W, Neuhold EJ, eds. Proc. of the Int'l Conf. on Very Large Data Bases. Vienna: ACM, 2007. 926-937.
    • (2007) Proc. of the Int'l Conf. on Very Large Data Bases , pp. 926-937
    • Chen, C.1    Yan, X.2    Yu, P.S.3    Han, J.4    Zhang, D.Q.5    Gu, X.6
  • 8
    • 70350603276 scopus 로고    scopus 로고
    • Concepts, issues, and advances of searching in graph-structured data
    • Chinese source
    • Zhou SG, Yu ZC, Jiang HL. Concepts, issues, and advances of searching in graph-structured data. Communications of the China Computer Federation, 2007, 3(8): 59-65 (in Chinese with English abstract).
    • (2007) Communications of the China Computer Federation , vol.3 , Issue.8 , pp. 59-65
    • Zhou, S.G.1    Yu, Z.C.2    Jiang, H.L.3
  • 9
    • 3142736597 scopus 로고    scopus 로고
    • Graph indexing: A frequent structure-based approach
    • Weikum G., Konig A.C. and Dessloch S. (ed.). Paris: ACM
    • Yan X, Yu PS, Han J. Graph indexing: A frequent structure-based approach. In: Weikum G, Konig AC, Dessloch S, eds. Proc. of the ACM SIGMOD Int'l Conf. on Management of Data. Paris: ACM, 2004. 335-346.
    • (2004) Proc. of the ACM SIGMOD Int'l Conf. on Management of Data , pp. 335-346
    • Yan, X.1    Yu, P.S.2    Han, J.3
  • 10
    • 35448982399 scopus 로고    scopus 로고
    • FG-Index: Towards verification-free query processing on graph databases
    • Chan C.Y., Ooi B.C. and Zhou A. (ed.). Beijing: ACM
    • Cheng J, Ke Y, Ng W, Lu A. FG-Index: Towards verification-free query processing on graph databases. In: Chan CY, Ooi BC, Zhou A, eds. Proc. of the ACM SIGMOD Int'l Conf. on Management of Data. Beijing: ACM, 2007. 857-872.
    • (2007) Proc. of the ACM SIGMOD Int'l Conf. on Management of Data , pp. 857-872
    • Cheng, J.1    Ke, Y.2    Ng, W.3    Lu, A.4
  • 11
    • 12244307653 scopus 로고    scopus 로고
    • State of the art of graph-based data mining
    • Washio T, Motoda H. State of the art of graph-based data mining. SIGKDD Explorations, 2003, 5(1): 59-68.
    • (2003) SIGKDD Explorations , vol.5 , Issue.1 , pp. 59-68
    • Washio, T.1    Motoda, H.2
  • 12
    • 78149333073 scopus 로고    scopus 로고
    • gSpan: Graph-Based substructure pattern mining
    • Agrawal R., Dittrich K. and Ngu A.H.H. (ed.). Maebashi City: IEEE
    • Yan X, Han J. gSpan: Graph-Based substructure pattern mining. In: Agrawal R, Dittrich K, Ngu AHH, eds. Proc. of the IEEE Int'l Conf. on Data Mining. Maebashi City: IEEE, 2002. 721-724.
    • (2002) Proc. of the IEEE Int'l Conf. on Data Mining , pp. 721-724
    • Yan, X.1    Han, J.2
  • 14
    • 35948953219 scopus 로고    scopus 로고
    • An efficient frequent subgraph mining algorithm
    • Chinese source
    • Li XT, Li JZ, Gao H. An efficient frequent subgraph mining algorithm. Journal of Software, 2007, 18(10): 2469-2480 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/18/2469.htm
    • (2007) Journal of Software , vol.18 , Issue.10 , pp. 2469-2480
    • Li, X.T.1    Li, J.Z.2    Gao, H.3
  • 15
    • 52649155498 scopus 로고    scopus 로고
    • Summarizing graph patterns
    • Bernstein P., Bertino E., Dayal U., Lockemann P., Weikum G. and Whang K.Y. (ed.). Cancun: IEEE
    • Liu Y, Li J, Gao H. Summarizing graph patterns. In: Bernstein P, Bertino E, Dayal U, Lockemann P, Weikum G, Whang KY, eds. Proc. of the IEEE Int'l Conf. on Data Mining. Cancun: IEEE, 2008. 903-912.
    • (2008) Proc. of the IEEE Int'l Conf. on Data Mining , pp. 903-912
    • Liu, Y.1    Li, J.2    Gao, H.3
  • 16
    • 85026575220 scopus 로고
    • Approximating the minimum degree spanning tree to within one from the optimal degree
    • Smithies M. (ed.). Orlando: SIAM
    • Fürer M, Raghavachari B. Approximating the minimum degree spanning tree to within one from the optimal degree. In: Smithies M, ed. Proc. of the ACM/SIGACT-SIAM Symp. on Discrete Algorithms. Orlando: SIAM, 1992. 317-324.
    • (1992) Proc. of the ACM/SIGACT-SIAM Symp. on Discrete Algorithms , pp. 317-324
    • Fürer, M.1    Raghavachari, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.