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Volumn 2015-August, Issue , 2015, Pages 1365-1374

Deep graph kernels

Author keywords

Bioinformatics; Deep learning; Graph kernels; R convolution kernels; Social networks; String kernels; Structured data

Indexed keywords

BIOINFORMATICS; CLASSIFICATION (OF INFORMATION); DATA MINING; MODELING LANGUAGES; SOCIAL NETWORKING (ONLINE); UNIFIED MODELING LANGUAGE;

EID: 84954152675     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2783258.2783417     Document Type: Conference Paper
Times cited : (1442)

References (34)
  • 7
    • 0026087709 scopus 로고
    • Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds. Correlation with molecular orbital energies and hydrophobicity
    • A. K. Debnath, R. L. Lopez de Compadre, G. Debnath, A. J. Shusterman, and C. Hansch. Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds. correlation with molecular orbital energies and hydrophobicity. J Med Chem, 34:786-797, 1991.
    • (1991) J Med Chem , vol.34 , pp. 786-797
    • Debnath, A.K.1    Lopez De Compadre, R.L.2    Debnath, G.3    Shusterman, A.J.4    Hansch, C.5
  • 9
    • 84891811692 scopus 로고    scopus 로고
    • Scope: Structural classification of proteins-extended, integrating scop and astral data and classification of new structures
    • N. K. Fox, S. E. Brenner, and J.-M. Chandonia. Scope: Structural classification of proteins-extended, integrating scop and astral data and classification of new structures. Nucleic acids research, 42(D1): D304-D309, 2014.
    • (2014) Nucleic Acids Research , vol.42 , Issue.D1 , pp. D304-D309
    • Fox, N.K.1    Brenner, S.E.2    Chandonia, J.-M.3
  • 10
    • 9444266406 scopus 로고    scopus 로고
    • On graph kernels: Hardness results and efficient alternatives
    • B. Schölkopf and M. K. Warmuth, editors Springer
    • T. Gärtner, P. Flach, and S. Wrobel. On graph kernels: Hardness results and efficient alternatives. In B. Schölkopf and M. K. Warmuth, editors, Proc. Annual Conf. Computational Learning Theory, pages 129-143. Springer, 2003.
    • (2003) Proc. Annual Conf. Computational Learning Theory , pp. 129-143
    • Gärtner, T.1    Flach, P.2    Wrobel, S.3
  • 14
    • 1942516986 scopus 로고    scopus 로고
    • Marginalized kernels between labeled graphs
    • San Francisco, CA Morgan Kaufmann
    • H. Kashima, K. Tsuda, and A. Inokuchi. Marginalized kernels between labeled graphs. In Proc. Intl. Conf. Machine Learning, pages 321-328, San Francisco, CA, 2003. Morgan Kaufmann.
    • (2003) Proc. Intl. Conf. Machine Learning , pp. 321-328
    • Kashima, H.1    Tsuda, K.2    Inokuchi, A.3
  • 15
    • 19544380439 scopus 로고    scopus 로고
    • Protein classification via kernel matrix completion
    • B. Schölkopf, K. Tsuda, and J.-P. Vert, editors Cambridge, MA; USA MIT Press
    • T. Kin, T. Kato, and K. Tsuda. Protein classification via kernel matrix completion. In B. Schölkopf, K. Tsuda, and J.-P. Vert, editors, Kernel Methods in Computational Biology, pages 261-274, Cambridge, MA; USA, 2004. MIT Press.
    • (2004) Kernel Methods in Computational Biology , pp. 261-274
    • Kin, T.1    Kato, T.2    Tsuda, K.3
  • 17
    • 0036358995 scopus 로고    scopus 로고
    • The spectrum kernel: A string kernel for SVM protein classification
    • Singapore World Scientific Publishing
    • C. Leslie, E. Eskin, and W. S. Noble. The spectrum kernel: A string kernel for SVM protein classification. In Proceedings of the Pacific Symposium on Biocomputing, pages 564-575, Singapore, 2002. World Scientific Publishing.
    • (2002) Proceedings of the Pacific Symposium on Biocomputing , pp. 564-575
    • Leslie, C.1    Eskin, E.2    Noble, W.S.3
  • 18
    • 84937861081 scopus 로고    scopus 로고
    • Neural word embedding as implicit matrix factorization
    • M. Welling, Z. Ghahramani, C. Cortes, N. Lawrence, and K. Weinberger, editors
    • O. Levy and Y. Goldberg. Neural word embedding as implicit matrix factorization. In M. Welling, Z. Ghahramani, C. Cortes, N. Lawrence, and K. Weinberger, editors, Advances in Neural Information Processing Systems 27, pages 2177-2185, 2014.
    • (2014) Advances in Neural Information Processing Systems , vol.27 , pp. 2177-2185
    • Levy, O.1    Goldberg, Y.2
  • 19
    • 0004010079 scopus 로고    scopus 로고
    • Computer Science Dept., Australian National University
    • B. D. McKay. Nauty user's guide (version 2.4). Computer Science Dept., Australian National University, 2007.
    • (2007) Nauty User's Guide (version 2.4)
    • McKay, B.D.1
  • 21
    • 84898956512 scopus 로고    scopus 로고
    • Distributed representations of words and phrases and their compositionality
    • C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Weinberger, editors
    • T. Mikolov, I. Sutskever, K. Chen, G. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Weinberger, editors, Advances in Neural Information Processing Systems 26, 2013.
    • (2013) Advances in Neural Information Processing Systems , vol.26
    • Mikolov, T.1    Sutskever, I.2    Chen, K.3    Corrado, G.4    Dean, J.5
  • 31
    • 0037818351 scopus 로고    scopus 로고
    • Statistical evaluation of the predictive toxicology challenge 2000-2001
    • July
    • H. Toivonen, A. Srinivasan, R. D. King, S. Kramer, and C. Helma. Statistical evaluation of the predictive toxicology challenge 2000-2001. Bioinformatics, 19(10):1183-1193, July 2003.
    • (2003) Bioinformatics , vol.19 , Issue.10 , pp. 1183-1193
    • Toivonen, H.1    Srinivasan, A.2    King, R.D.3    Kramer, S.4    Helma, C.5
  • 34
    • 41149084603 scopus 로고    scopus 로고
    • Comparison of descriptor spaces for chemical compound retrieval and classification
    • N. Wale, I. A. Watson, and G. Karypis. Comparison of descriptor spaces for chemical compound retrieval and classification. Knowledge and Information Systems, 14(3):347-375, 2008.
    • (2008) Knowledge and Information Systems , vol.14 , Issue.3 , pp. 347-375
    • Wale, N.1    Watson, I.A.2    Karypis, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.