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        <datestamp>2021-12-13T01:33:56Z</datestamp>
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          <dc:title>Graph Code Based Isomorphism Query on Graph Data</dc:title>
          <dc:creator>Hlaing, Yu Wai</dc:creator>
          <dc:creator>Oo, Kyaw May</dc:creator>
          <dc:description>The field of graph datasets and graph queryprocessing has received a lot of attention due to constantlyincreasing usage of graph data structures for representing datain different domains. Storing the graph in large dataset is achallenging task as it deals with efficient space and timemanagement. To ensure the consistency of graph dataset, one ofthe necessary procedures required is a mechanism to checkswhether two graphs are automorphic or not. Given a graphquery, it is also desirable to query isomorphic graphs quickly andefficiently from a large dataset via its index. In this paper, wepropose a graph isomorphism querying approach that based ongraph code. Graph code is a graph representative structure thatcan preserve the structural information of the original graph.Graph isomorphism query can be efficiently processed via triethat is constructed on graph codes of the data graphs. Theexperimental results and comparisons offer a positive response tothe proposed approach.</dc:description>
          <dc:date>2015</dc:date>
          <dc:identifier>http://hdl.handle.net/20.500.12678/0000004241</dc:identifier>
          <dc:identifier>https://meral.edu.mm/records/4241</dc:identifier>
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