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Computational Analytics

Research Interests

  • algorithm engineering for big data, in particular graph algorithms and data structures
  • algorithmic data analysis, graph mining
  • combinatorial optimization (polynomial time and ILP-based)
  • network design and optimization
  • graph and network visualization
  • analysis of chemical structures and biological networks
  • application areas: network analysis, cheminformatics (drug design), information visualization, network design and optimization, computational biology, statistical physics, …

Current Research Topics

  • Temporal graphs, e.g., bicriteria shortest paths, temporal TSP
  • graph learning, e.g., Weisfeiler-Leman type algorithms
  • graph similarity, graph mining
  • combining combinatorial optimization and learning methods, e.g. max cut and TSP
  • cheminformatics, e.g. structural clustering, Scaffold Hunter
  • integer linear programming models for ranking problems, e.g. graph coloring, Steiner tree with hop constraints, layering problem in graph drawing
  • high performance analytics


Our current and past projects can be found here.

Recent Publications

ags/coan.txt · Last modified: 2022/05/04 15:07 by petra.mutzel

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