Improving the Performance and Scalability of Pattern Subgraph Queries

Katsarou, Foteini (2018) Improving the Performance and Scalability of Pattern Subgraph Queries. [Data Collection]

Collection description

The data provided include the datasets used the PhD thesis titled "Improving the Performance and Scalability of Pattern Subgraph Queries". The thesis contains 7 chapters., from which chapters 4,5 and 6 are related to the dataset provided. The rest of the chapters serve as introductory and concluding material to the thesis. All datasets follow 2 different file formats: grapes and igraph format as described in the README file.

Most of the datasets provided are generated with the synthetic generator GraphGen ( http://www.cse.ust.hk/graphgen/). For the the real datasets: they were obtained as follows:
AIDS, PDBS, PCM, PPI were retrieved from authors of Grapes. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3805575/ Unfortunately the link at which they maintained the dataset does not exist anymore.

Human and yeast were retrieved from J. Lee, W.-S. Han, R. Kasperovics, and J.-H. Lee, “An in-depth comparison of sub-graph isomorphism algorithms in graph databases,” PVLDB, vol. 6, no. 2, pp. 133–144, 2012.

Wordnet is obtained form http://vlado.fmf.uni-lj.si/pub/networks/data/dic/Wordnet/Wordnet.htm.

College / School: College of Science and Engineering > School of Computing Science
Date Deposited: 12 Mar 2018 10:01
Retention date: 28 March 2028
URI: http://researchdata.gla.ac.uk/id/eprint/588

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Katsarou, Foteini (2018); Improving the Performance and Scalability of Pattern Subgraph Queries

University of Glasgow

10.5525/gla.researchdata.588

Retrieved: 2018-05-24