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DTSTAMP:20260422T000604Z
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DTSTART;TZID=America/Denver:20231115T100000
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UID:submissions.supercomputing.org_SC23_sess299_spostg129@linklings.com
SUMMARY:Incremental Graph Clustering in Parallel
DESCRIPTION:Md Taufique Hussain (Indiana University)\n\nWe develop a distr
 ibuted memory graph clustering algorithm to find clusters in a graph where
  new nodes and edges are being added incrementally. At each stage of the a
 lgorithm, we maintain a summary of the clustered graph computed from all i
 ncremental batches received thus far. As we receive a new batch of nodes a
 nd edges, we cluster the new graph and merge new clusters with the previou
 s summary clusters. We use sparse linear algebra to perform these operatio
 ns. Our algorithm would make it possible to find clusters in very large gr
 aphs for which regular graph clustering algorithms could not run due to co
 mputation/communication bottlenecks.\n\nTag: Artificial Intelligence/Machi
 ne Learning, Algorithms, Applications, Architecture and Networks, Cloud Co
 mputing, Distributed Computing, Data Analysis, Visualization, and Storage,
  Performance Measurement, Modeling, and Tools, Programming Frameworks and 
 System Software\n\nRegistration Category: Tech Program Reg Pass, Exhibits 
 Reg Pass\n\n
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