January 16 – 21 , 2022, Dagstuhl Seminar 22031

Bringing Graph Databases and Network Visualization Together


Karsten Klein (Universität Konstanz, DE)
Juan F. Sequeda ( – Austin, US)
Hsiang-Yun Wu (FH – St. Pölten , AT)
Da Yan (The University of Alabama – Birmingham, US)

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Network analytics through interactive network visualization has been essential in many research areas, such as bioinformatics, social science, and knowledge graph exploration. A network is often supported by graph databases with advanced query engines and indexing techniques. Graph databases have substantial contributions by academia and gained strong momentum in the industry, where the focus is on scalable systems using graph query languages that require to be learned by users. Even though the Graph Database and Network Visualization communities study the same object, a graph/network, albeit from different perspectives, they do not communicate with each other. By bringing both communities together, we aim to initiate and foster mutual communication and joint work. The goal of this Dagstuhl Seminar is to initiate collaborative efforts, to increase the mutual awareness of each other's existing concepts and technologies, and to identify new and complementary research challenges that lead to novel scientific outcomes. The organizers envision several core topics for discussion at the Dagstuhl Seminar:

  1. Integration of fundamental concepts used in the two communities. We aim to review concepts and materials that have been separately developed or extensively used in each community, and to establish a road map to mutually guide the follow-up research in both or other communities.
  2. Visual scalability and computational performance. We want to investigate the specific requirements of use-cases associated with graph databases, as well as integrative approaches such as better database structure support for visual interactions or better update schemes through visualizations.
  3. Visual graph query paradigm. We aim to discuss if conceptual patterns in a user’s mind can be visually formulated, and further be converted to text-based queries for graph databases, as an alternative method to explore and mine large graphs without getting lost.
  4. Responsive visualization of graph query results. Graph queries aim to search and identify patterns, such as pattern matching, neighbors, paths, and cliques in graph databases. More sophisticated query cases for pattern or visual pattern detection will be discussed.
  5. (Qualitative) Evaluation. We plan to integrate and share the evaluation experience in network visualization and exchange these experiences with the graph database community. Moreover, a more sophisticated evaluation for the integration of visualization and data management will be researched.
  6. Domain-oriented applications. Several domain-specific applications that utilize graph databases and network visualization for analytics purposes will be investigated, identifying current weaknesses and exploring new concepts to better support research in the application domains.

This Dagstuhl Seminar aims for bringing together leading researchers with core expertise from two distinct communities, including both industry and academia. The seminar serves to establish a common understanding of the state of the art and the terminology in both communities, and to connect participants to tackle joint research challenges as described above. The contributions of the seminar include identifying the top areas of research interest, developing the research challenges and research questions, investigating selected problems, and possibly drafting a vision paper on joint research.

Motivation text license
  Creative Commons BY 4.0
  Karsten Klein, Juan F. Sequeda, Hsiang-Yun Wu, and Da Yan


  • Data Structures And Algorithms
  • Databases
  • Human-Computer Interaction


  • Graph databases
  • Network visualization
  • Visual analytics


In the series Dagstuhl Reports each Dagstuhl Seminar and Dagstuhl Perspectives Workshop is documented. The seminar organizers, in cooperation with the collector, prepare a report that includes contributions from the participants' talks together with a summary of the seminar.


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