Información de la conferencia
GC 2020: Graph Computing
https://www.graphcomputing.org/
Día de Entrega:
2020-07-01 Extended
Fecha de Notificación:
2020-07-31
Fecha de Conferencia:
2020-09-21
Ubicación:
Hotel Irvine, California, USA
Vistas: 1696   Seguidores: 2   Asistentes: 0

Ubicación
Solicitud de Artículos
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 algorithm
    Storage of graphs
    Combinatorial optimization
    Knowledge graph
    Network analysis
    Diffusion analysis
    Influence analysis
    Social network
    Semantic network
    Graph database
    Query language
    Query processing and optimization
    Integrity and security
    Graph OLAP
    Graph mining
    Graph learning
    Graph reduction
    Graph visualization
    Big graph
    Applications
​
The conference proceedings will be submitted to the IEEE Xplore® and/or IEEE Computer Society Press digital library. Distinguished quality papers presented at the conference will be selected for the best paper/poster awards and for publication in internationally renowned journals (SCI, EI, and/or Scoups indexed).
Última Actualización Por Dou Sun en 2020-05-23
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ACM Transactions on Parallel ComputingACM
IEEE Pervasive Computing3.022IEEE
International Journal on Soft Computing AIRCC
SIAM Journal on Computing SIAM
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