Graph Computing

Graphs are widely used to model complex data nowadays: social networks, recommendation engines, computer networks, bio-informatics, to name a few. Graph theory has traditionally been a core area of research in computer science and artificial intelligence. With the growing number of applications and amount of data, Graph Computing addresses the storage, analysis, synthesis, and processing of (possibly large) graphs to solve complex problems. . 

Graph Computing 2019 (GC 2019), technically sponsored by the IEEE Computer Society, is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice of Graph Computing, as well as to identify the emerging topics and define the future of Graph Computing.

TOPICS OF INTEREST​​ include, but are not limited to:

  • Graph algorithms

  • Storage of graphs

  • Combinatorial optimization

  • Knowledge graphs

  • Network analysis

  • Diffusion analysis

  • Influence analysis

  • Social networks

  • Semantic networks

  • Graph databases

  • Query languages

  • Query processing and optimization

  • Integrity and security

  • Graph OLAP

  • Graph mining

  • Graph learning

  • Graph reduction

  • Graph visualization

  • Big graph analytics

  • Applications