LSGDA 2019

The 1st International Workshop on Large Scale Graph Data Analytics

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 1st International Workshop on Large Scale Graph Data Analytics (LSGDA 2019) 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.

Research Interest

Topics of interest include but not limited to:

  • Graph data model, storage, indexing and query processing techniques
  • Graph mining techniques
  • Techniques for distributed graph analytics
  • Graph visualization techniques and system interfaces
  • Dynamic and streaming graph data analytics
  • Spatial-temporal graph analytics
  • AI techniques for graphs
  • Machine learning techniques for graphs
  • Graph analytics in various application domains such as social networks multimedia, semantic web, biological data, business processes, transport data, etc.
  • Vision papers to survey the area of graph data analytics as well as describe the future research directions

Submission Guidelines

The proceedings of the workshops will be published jointly with the conference proceedings and all papers must be formatted following the IEEE ICDE 2019 submission guidelines available at the conference webpage. 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 appendences,

  • Full papers and vision papers should be a maximum of 8 pages in length
  • Short papers, demo papers and industry papers should be a maximum of 4 pages in length.

Please upload your submission to the LSGDA 2019 Research Track through the CMT system at: https://cmt3.research.microsoft.com/LSGDA2019

Important Dates

Paper submission: December 31, 2018

Paper notification: January 31, 2019

Camera ready deadline: February 22, 2019

Members of the workshop organizers:

General Chair: Prof. Jeffrey Xu Yu, Chinese University of Hong Kong HK

PC co-chairs:

  • Dr. Lu Qin, University of Technology Sydney Australia
  • A/Prof. Wenjie Zhang, University of New South Wales Australia
  • A/Prof. Ying Zhang, University of Technology Sydney Australia

Members of the program committee:

  • Vijil Chenthamarakshan, IBM AI Research
  • Bolin Ding, Data Analytics and Intelligence Lab, Alibaba Group
  • Yixiang Fang, University of New South Wales
  • Rong-Hua Li, Beijing Institute of Technology
  • Xiaoling Wang, East China Normal University
  • Dong Wen, University of Technology Sydney
  • Chuan Xiao, Nagoya University
  • Weiren Yu, Aston University
  • Zhiwei Zhang, Hong Kong Baptist University
  • Xiang Zhao, National University of Defence Technology
  • Yuanyuan Zhu, Wuhan University
  • Zhaonian Zou, Harbin Institute of Technology
  • Huasong Shan, JD.COM
  • Jiafeng Hu, Google