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Call for Papers

Recently, there has been a lot of interest in the application of graphs in different domains. They have been widely used for data modeling of different application domains such as multimedia databases, protein networks, social networks and semantic web. With the continued emergence and increase of massive and complex structural graph data, a graph database that efficiently supports elementary data management mechanisms is crucially required to effectively understand and utilize any collection of graphs.

The overall goal of the workshop is to bring people from different fields together, exchange research ideas and results, and encourage discussion about how to provide efficient graph data management techniques in different application domains and to understand the research challenges of such area. The first international workshop on graph data management and analysis (GDMA 2017) was held in Beijing, China in conjunction with APWeb-WAIM 2017 and GDMA 2018-2022 was held in conjunction with DASFAA 2018-2022, respectively. The theme of GDMA 2023 is “Graph Management, Learning, and Analysis”. Having the workshop collocated with DASFAA as a leading database conference will definitely help to achieve the main goals of the workshop.

Topics of interest

Topics of interest include, but are not limited to:

  • Storing graph data.
  • Indexing graph data.
  • Supporting different types of graph queries.
  • Estimating the selectivity of graph queries.
  • Graph mining.
  • Graph learning.
  • Compact (compressed) representation of graph data.
  • Measuring graph similarity.
  • Graph data management for social network applications.
  • Graph data management of multimedia databases.
  • Graph data management of semantic web data.
  • Graph data management for geometrical applications.
  • Graph data management for business process management applications.
  • Graph query languages.
  • Graph question answering.
  • Advanced applications and tools for managing graph databases in different domains.

The papers accepted by DASFAA 2023 workshop will be published in a combined volume of Lecture Notes in Computer Science series published by Springer, and indexed by both LNCS and DBLP. GDMA 2023 will benefit from the registration process of DASFAA 2023 (we will have a single registration for GDMA 2023).

Submission Website: https://easychair.org/conferences/?conf=gdma2023