Complexes Detection in Biological Networks via Diversified Dense Subgraphs Mining

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Undergraduate Research Assistant, supervised by Prof J, Han (UIUC, CS) & Prof X. Ma (Peking University)

  • Investigated dense graph mining theory and related works in the field of bioinformatics, community search and event detection.
  • Designed the intelligent Diversified Maximal Dense Subgraph (DMDS) mining algorithm to discover cohesive groups in various network: biological network, social network.
  • Implemented DMDS algorithm, conducted experiments and analysis

Paper submitted: DMDS