High Performance Subgraph Mining in Molecular Compounds

Di Fatta, Giuseppe; Berthold, Michael R.

High Performance Subgraph Mining in Molecular Compounds

Files

Fatta_240449.pdf(471.81 KB)

Date

2005

Authors

Di Fatta, Giuseppe

Berthold, Michael R.

Publication type

Contribution to a conference collection

Published in

High Performance Computing and Communications / Yang, Laurence T.; Rana, Omer F.; Di Martino, Beniamino; Dongarra, Jack (ed.). - Berlin, Heidelberg : Springer Berlin Heidelberg, 2005. - (Lecture Notes in Computer Science ; 3726). - pp. 866-877. - ISBN 978-3-540-29031-5

Abstract

Structured data represented in the form of graphs arises in several fields of the science and the growing amount of available data makes distributed graph mining techniques particularly relevant. In this paper, we present a distributed approach to the frequent subgraph mining problem to discover interesting patterns in molecular compounds. The problem is characterized by a highly irregular search tree, whereby no reliable workload prediction is available. We describe the three main aspects of the proposed distributed algorithm, namely a dynamic partitioning of the search space, a distribution process based on a peer-to-peer communication framework, and a novel receiver-initiated, load balancing algorithm. The effectiveness of the distributed method has been evaluated on the well-known National Cancer Institute’s HIV-screening dataset, where the approach attains close-to linear speedup in a network of workstations.

Subject (DDC)

004 Computer Science

Cite This

ISO 690

DI FATTA, Giuseppe, Michael R. BERTHOLD, 2005. High Performance Subgraph Mining in Molecular Compounds. In: YANG, Laurence T., ed., Omer F. RANA, ed., Beniamino DI MARTINO, ed., Jack DONGARRA, ed.. High Performance Computing and Communications. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 866-877. ISBN 978-3-540-29031-5. Available under: doi: 10.1007/11557654_97

BibTex

@inproceedings{DiFatta2005Perfo-24044,
  year={2005},
  doi={10.1007/11557654_97},
  title={High Performance Subgraph Mining in Molecular Compounds},
  number={3726},
  isbn={978-3-540-29031-5},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  series={Lecture Notes in Computer Science},
  booktitle={High Performance Computing and Communications},
  pages={866--877},
  editor={Yang, Laurence T. and Rana, Omer F. and Di Martino, Beniamino and Dongarra, Jack},
  author={Di Fatta, Giuseppe and Berthold, Michael R.}
}

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Bibliography of Konstanz

Yes