메뉴 건너뛰기




Volumn , Issue , 2012, Pages 828-838

Fast random walk graph kernel

Author keywords

[No Author keywords available]

Indexed keywords

RANDOM PROCESSES;

EID: 84880238353     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972825.71     Document Type: Conference Paper
Times cited : (127)

References (44)
  • 1
    • 34247228045 scopus 로고    scopus 로고
    • Fast computation of low-rank matrix approximations
    • D. Achlioptas and F. McSherry. Fast computation of low-rank matrix approximations. J. ACM, 54(2), 2007.
    • (2007) J. ACM , vol.54 , Issue.2
    • Achlioptas, D.1    McSherry, F.2
  • 2
    • 85068537403 scopus 로고    scopus 로고
    • Objectrank: Authority-based keyword search in databases
    • A. Balmin, V. Hristidis, and Y. Papakonstantinou. Objectrank: Authority-based keyword search in databases. In VLDB, pages 564-575, 2004.
    • (2004) VLDB , pp. 564-575
    • Balmin, A.1    Hristidis, V.2    Papakonstantinou, Y.3
  • 3
    • 34548585627 scopus 로고    scopus 로고
    • Shortest-path kernels on graphs
    • K. M. Borgwardt and H.-P. Kriegel. Shortest-path kernels on graphs. In ICDM, pages 74-81, 2005.
    • (2005) ICDM , pp. 74-81
    • Borgwardt, K.M.1    Kriegel, H.-P.2
  • 5
    • 36249003318 scopus 로고    scopus 로고
    • Class prediction from time series gene expression pro-les using dynamical systems kernels
    • K. M. Borgwardt, S. V. N. Vishwanathan, and H.- P. Kriegel. Class prediction from time series gene expression pro-les using dynamical systems kernels. In Pacific Symposium on Biocomputing, pages 547-558, 2006.
    • (2006) Pacific Symposium on Biocomputing , pp. 547-558
    • Borgwardt, K.M.1    Vishwanathan, S.V.N.2    Kriegel, H.-.P.3
  • 6
    • 33751097630 scopus 로고    scopus 로고
    • Fast monte carlo algorithms for matrices iii: Computing a compressed approximate matrix decomposition
    • P. Drineas, R. Kannan, and M. W. Mahoney. Fast monte carlo algorithms for matrices iii: Computing a compressed approximate matrix decomposition. SIAM Journal of Computing, 2005.
    • (2005) SIAM Journal of Computing
    • Drineas, P.1    Kannan, R.2    Mahoney, M.W.3
  • 7
    • 33751075906 scopus 로고    scopus 로고
    • Fast monte carlo algorithms for matrices ii: Computing a low-rank approximation to a matrix
    • P. Drineas, R. Kannan, and M. W. Mahoney. Fast monte carlo algorithms for matrices ii: Computing a low-rank approximation to a matrix. SIAM J. Comput., 36(1):158-183, 2006.
    • (2006) SIAM J. Comput. , vol.36 , Issue.1 , pp. 158-183
    • Drineas, P.1    Kannan, R.2    Mahoney, M.W.3
  • 8
    • 12244266085 scopus 로고    scopus 로고
    • Fast discovery of connection subgraphs
    • C. Faloutsos, K. S. McCurley, and A. Tomkins. Fast discovery of connection subgraphs. In KDD, pages 118-127, 2004.
    • (2004) KDD , pp. 118-127
    • Faloutsos, C.1    McCurley, K.S.2    Tomkins, A.3
  • 9
    • 9444266406 scopus 로고    scopus 로고
    • On graph kernels: Hardness results and eficient alternatives
    • T. Gärtner, P. A. Flach, and S. Wrobel. On graph kernels: Hardness results and eficient alternatives. In COLT, pages 129-143, 2003.
    • (2003) COLT , pp. 129-143
    • Gärtner, T.1    Flach, P.A.2    Wrobel, S.3
  • 10
    • 4444288656 scopus 로고    scopus 로고
    • Kernels and distances for structured data
    • T. Gärtner, J. W. Lloyd, and P. A. Flach. Kernels and distances for structured data. Machine Learning, 57(3):205-232, 2004.
    • (2004) Machine Learning , vol.57 , Issue.3 , pp. 205-232
    • Gärtner, T.1    Lloyd, J.W.2    Flach, P.A.3
  • 11
    • 84983219752 scopus 로고    scopus 로고
    • Relational linkbased ranking
    • F. Geerts, H. Mannila, and E. Terzi. Relational linkbased ranking. In VLDB, pages 552-563, 2004.
    • (2004) VLDB , pp. 552-563
    • Geerts, F.1    Mannila, H.2    Terzi, E.3
  • 12
    • 0004236492 scopus 로고    scopus 로고
    • The Johns Hopkins University Press, Baltimore, 2nd edition, 1996
    • G. H. Golub and C. F. Van-Loan. Matrix Computa- Tions. The Johns Hopkins University Press, Baltimore, 2nd edition, 1996.
    • Matrix Computa- Tions
    • Golub, G.H.1    Van-Loan, C.F.2
  • 15
    • 77951165897 scopus 로고    scopus 로고
    • A linear-time graph kernel
    • S. Hido and H. Kashima. A linear-time graph kernel. In ICDM, pages 179-188, 2009.
    • (2009) ICDM , pp. 179-188
    • Hido, S.1    Kashima, H.2
  • 16
    • 12244278576 scopus 로고    scopus 로고
    • Cyclic pattern kernels for predictive graph mining
    • T. Horváth, T. Gärtner, and S. Wrobel. Cyclic pattern kernels for predictive graph mining. In KDD, pages 158-167, 2004.
    • (2004) KDD , pp. 158-167
    • Horváth, T.1    Gärtner, T.2    Wrobel, S.3
  • 17
    • 0034504507 scopus 로고    scopus 로고
    • Stable distributions, pseudorandom generators, embeddings and data stream computation
    • P. Indyk. Stable distributions, pseudorandom generators, embeddings and data stream computation. In FOCS, pages 189-197, 2000.
    • (2000) FOCS , pp. 189-197
    • Indyk, P.1
  • 18
    • 0242625250 scopus 로고    scopus 로고
    • Simrank: A measure of structural-context similarity
    • G. Jeh and J. Widom. Simrank: A measure of structural-context similarity. In KDD, pages 538-543, 2002.
    • (2002) KDD , pp. 538-543
    • Jeh, G.1    Widom, J.2
  • 19
    • 17944378423 scopus 로고    scopus 로고
    • Dimensionality reduction for similarity searching in dynamic databases
    • K. V. R. Kanth, D. Agrawal, and A. K. Singh. Dimensionality reduction for similarity searching in dynamic databases. In SIGMOD Conference, pages 166-176, 1998.
    • (1998) SIGMOD Conference , pp. 166-176
    • Kanth, K.V.R.1    Agrawal, D.2    Singh, A.K.3
  • 20
    • 1942516986 scopus 로고    scopus 로고
    • Marginalized kernels between labeled graphs
    • H. Kashima, K. Tsuda, and A. Inokuchi. Marginalized kernels between labeled graphs. In ICML, pages 321- 328, 2003.
    • (2003) ICML , pp. 321-328
    • Kashima, H.1    Tsuda, K.2    Inokuchi, A.3
  • 22
    • 33749541709 scopus 로고    scopus 로고
    • Measuring and extracting proximity in networks
    • Y. Koren, S. C. North, and C. Volinsky. Measuring and extracting proximity in networks. In KDD, pages 245-255, 2006.
    • (2006) KDD , pp. 245-255
    • Koren, Y.1    North, S.C.2    Volinsky, C.3
  • 23
    • 84863440701 scopus 로고    scopus 로고
    • Matrix analysis for scientists and engineers
    • A. J. Laub. Matrix analysis for scientists and engineers. SIAM, 2004.
    • (2004) SIAM
    • Laub, A.J.1
  • 24
    • 77952275931 scopus 로고    scopus 로고
    • Fast computation of simrank for static and dynamic information networks
    • C. Li, J. Han, G. He, X. Jin, Y. Sun, Y. Yu, and T.Wu. Fast computation of simrank for static and dynamic information networks. In EDBT, pages 465-476, 2010.
    • (2010) EDBT , pp. 465-476
    • Li, C.1    Han, J.2    He, G.3    Jin, X.4    Sun, Y.5    Yu, Y.6    Wu, T.7
  • 25
  • 26
    • 70449129633 scopus 로고    scopus 로고
    • Incremental spectral clustering with application to monitoring of evolving blog communities
    • H. Ning, W. Xu, Y. Chi, Y. Gong, and T. S. Huang. Incremental spectral clustering with application to monitoring of evolving blog communities. In SDM, 2007.
    • (2007) SDM
    • Ning, H.1    Xu, W.2    Chi, Y.3    Gong, Y.4    Huang, T.S.5
  • 27
    • 12244311479 scopus 로고    scopus 로고
    • Automatic multimedia cross-modal correlation discovery
    • J.-Y. Pan, H.-J. Yang, C. Faloutsos, and P. Duygulu. Automatic multimedia cross-modal correlation discovery. In KDD, pages 653-658, 2004.
    • (2004) KDD , pp. 653-658
    • Pan, J.-Y.1    Yang, H.-J.2    Faloutsos, C.3    Duygulu, P.4
  • 30
    • 79959209319 scopus 로고    scopus 로고
    • Reverse engineering of tree kernel feature spaces
    • D. Pighin and A. Moschitti. Reverse engineering of tree kernel feature spaces. In EMNLP, pages 111-120, 2009.
    • (2009) EMNLP , pp. 111-120
    • Pighin, D.1    Moschitti, A.2
  • 34
    • 75149133815 scopus 로고    scopus 로고
    • Reaction graph kernels predict ec numbers of unknown enzymatic reactions in plant secondary metabolism
    • S-1
    • H. Saigo, M. Hattori, H. Kashima, and K. Tsuda. Reaction graph kernels predict ec numbers of unknown enzymatic reactions in plant secondary metabolism. BMC Bioinformatics, 11(S-1):31, 2010.
    • (2010) BMC Bioinformatics , vol.11 , pp. 31
    • Saigo, H.1    Hattori, M.2    Kashima, H.3    Tsuda, K.4
  • 37
    • 33749583360 scopus 로고    scopus 로고
    • Beyond streams and graphs: Dynamic tensor analysis
    • J. Sun, D. Tao, and C. Faloutsos. Beyond streams and graphs: dynamic tensor analysis. In KDD, pages 374-383, 2006.
    • (2006) KDD , pp. 374-383
    • Sun, J.1    Tao, D.2    Faloutsos, C.3
  • 38
    • 36849093960 scopus 로고    scopus 로고
    • Fast directionaware proximity for graph mining
    • H. Tong, C. Faloutsos, and Y. Koren. Fast directionaware proximity for graph mining. In KDD, pages 747-756, 2007.
    • (2007) KDD , pp. 747-756
    • Tong, H.1    Faloutsos, C.2    Koren, Y.3
  • 40
    • 65449145629 scopus 로고    scopus 로고
    • Colibri: Fast mining of large static and dynamic graphs
    • H. Tong, S. Papadimitriou, J. Sun, P. S. Yu, and C. Faloutsos. Colibri: fast mining of large static and dynamic graphs. In KDD, pages 686-694, 2008.
    • (2008) KDD , pp. 686-694
    • Tong, H.1    Papadimitriou, S.2    Sun, J.3    Yu, P.S.4    Faloutsos, C.5
  • 41
    • 0004554167 scopus 로고    scopus 로고
    • Numerical linear algebra
    • L. N. Trefethen and D. B. III. Numerical linear algebra. SIAM, 1997.
    • (1997) SIAM
    • Trefethen, L.N.1
  • 44
    • 79951735154 scopus 로고    scopus 로고
    • Weighted feature subset non-negative matrix factorization and its applications to document understanding
    • D. Wang, T. Li, and C. H. Q. Ding. Weighted feature subset non-negative matrix factorization and its applications to document understanding. In ICDM, pages 541-550, 2010.
    • (2010) ICDM , pp. 541-550
    • Wang, D.1    Li, T.2    Ding, C.H.Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.