The 2nd International Workshop on Large Scale Graph Data Analytics
Aim and Scope. Various application domains such as social networks, communication networks, collaboration networks, biological networks, transportation networks, knowledge networks naturally generate large scale graph data to capture the connectedness among entities. Driven by these applications, there is an increasing demand for the development of novel graph analytics models and scalable graph analytics techniques and systems. The 2nd International Workshop on Large Scale Graph Data Analytics (LSGDA 2020) aims to provide a forum for researchers from academia and industry to exchange ideas, techniques and application scenarios in large scale graph data analytics as well as discuss open challenges and identify new research directions in the area. Besides regular research papers, we also welcome vision papers, demonstration papers and papers with industry showcase from various applications.
The workshop will be of interest to researchers in developing techniques for large scale graph data analytics in various application domains. The intended audiences include researchers from both academia and industry who are interested in exploiting the value of large scale graph data.
Publication. Accepted papers will be published in the springer proceedings (pending approval). Accepted papers with top quality will be recommended for publication in WWW Journal.
Topics of interest include but not limited to:
The proceedings of the workshops will be published jointly with the conference proceedings. We welcome research papers (full or short), vision papers, demo papers and industry papers showcasing graph analytics in real applications.
Including the bibliography and any possible appendices,
Please upload your submission to the LSGDA 2020 Research Track through the CMT system at: https://cmt3.research.microsoft.com/LSGDA2020
Paper submission: April 26, 2020
Paper notification: June 7, 2020
Camera ready deadline: June 28, 2020
Members of the workshop organizers:
General Chair: Prof. Xuemin Lin, University of New South Wales, Australia
Members of the program committee:
Currently not available ...