Graph Computing
Graphs are widely used to model complex data nowadays: social networks, recommendation engines, computer networks, bioinformatics, 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