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PANDA: toward partial topology-based search on large networks in a single machine

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Abstract

A large body of research has focused on efficient and scalable processing of subgraph search queries on large networks. In these efforts, a query is posed in the form of a connected query graph. Unfortunately, in practice end users may not always have precise knowledge about the topological relationships between nodes in a query graph to formulate a connected query. In this paper, we present a novel graph querying paradigm called partial topology-based network search and propose a query processing framework called panda to efficiently process partial topology query (ptq) in a single machine. A ptq is a disconnected query graph containing multiple connected query components. ptqs allow an end user to formulate queries without demanding precise information about the complete topology of a query graph. To this end, we propose an exact and an approximate algorithm called sen-panda and po-panda, respectively, to generate top-k matches of a ptq. We also present a subgraph simulation-based optimization technique to further speedup the processing of ptqs. Using real-life networks with millions of nodes, we experimentally verify that our proposed algorithms are superior to several baseline techniques.

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Notes

  1. As we shall see later, our solution framework can easily handle overlapping cases by mapping it to a Steiner tree problem.

  2. http://vlado.fmf.uni-lj.si/pub/networks/data/bio/Yeast/yeast.zip.

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Acknowledgements

Qing Wang is supported by the National Natural Science Foundation of China under grants 61432001, 91318301, 91218302.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Miao Xie, Sourav S. Bhowmick & Gao Cong

  2. Institute of Software, Chinese Academy of Sciences, Beijing, China

    Miao Xie & Qing Wang

  3. CSI Euler Department, Huawei, Beijing, China

    Miao Xie

Authors
  1. Miao Xie
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  2. Sourav S. Bhowmick
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  3. Gao Cong
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  4. Qing Wang
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Corresponding author

Correspondence to Sourav S. Bhowmick.

Additional information

This work was primarily done when the first author was visiting Nanyang Technological University.

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Xie, M., Bhowmick, S.S., Cong, G. et al. PANDA: toward partial topology-based search on large networks in a single machine. The VLDB Journal 26, 203–228 (2017). https://doi.org/10.1007/s00778-016-0447-0

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