Various application domains, such as social networks, communication networks, collaboration networks, biological networks, and transportation 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 3rd International Workshop on Large-Scale Graph Data Analytics (LSGDA) 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 to discuss open challenges and identify new research directions in the area. Besides regular research papers, we also welcome vision papers, and papers with an industry showcase from various applications.

The workshop will be of interest to researchers developing techniques for large-scale graph data analytics in various application domains. The intended audience includes researchers from both academia and industry interested in exploiting the value of large-scale graph data.


***TOPICS***

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
* Machine learning techniques for graphs
* Industry papers about 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***

* Submitted papers must be original contributions and cannot be under review for any other forum.

* Each paper will be judged on its originality, significance, technical quality, relevance to LSGDA, and presentation. Accepted papers will form a volume to be published in the CEUR-WS series.

* Submissions must be in the form of PDF: Research full papers, vision papers, and industry papers are all limited to 8 pages (two columns), including all figures and tables. There are no restrictions on additional pages containing only references.

* All submitted papers must be presented in English. Authors should use CEUR-WS proceeding templates, either for LaTeX or for Word, for the preparation of their papers. You can also download an offline version with the style files from http://ceur-ws.org/Vol-XXX/CEURART.zip. It also contains DOCX template files. Please choose 2-column style and do not forget to update the information in the footnote of first page, such as the copyright year.

* LSGDA follows single blind review, which means that authors’ information (full name, affiliation, email address) must be included in the submission. CEUR-WS also encourages authors to include their homepages and ORCIDs in their papers.


***Important Dates***

* Paper Submission: June 30, 2024
* Notification of Acceptance: July 21, 2024
* Camera-ready Submission: July 28, 2024


***Organizer***

General Chairs:
Wenjie Zhang, University of New South Wales
Lu Qin, University of Technology Sydney
Ying Zhang, Zhejiang Gongshang University


PC Co-chairs:
Long Yuan, Nanjing University of Science and Technology
Zhengyi Yang, University of New South Wales