GDMA 2022: The 6h International Workshop on Graph Data Management and Analysis https://www.dasfaa2022.org/ Hyderabad, India, April 10-11, 2022 |
Conference website | https://gdma2022.github.io/ |
Submission link | https://easychair.org/conferences/?conf=gdma2022 |
Abstract registration deadline | November 30, 2021 |
Submission deadline | November 30, 2021 |
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 the 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 understand the research challenges of such areas. 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 2018/2019/2020/2021 was held in conjunction with DASFAA 2018/2019/2020/2021, respectively. The theme of GDMA 2022 is “Multimodal Data Management and Analysis”. Having the workshop collocated with DASFAA as a leading database conference will definitely help to achieve the main goals of the workshop.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Graph Data
- Multimodal Data
- Graph Neural Network
- Knowledge Graph
- Semantic Web
- Graph Learning
- Graph Analysis
List of Topics
- 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.
Committees
Program Committee
- Gong Cheng, Nanjing University, China
- Liang Hong, Wuhan University, China
- Wei Hu, Nanjing University, China
- Peng Peng, Hunan University, China
- Huaiyu Wan, Beijing University of Posts and Telecommunications, China
- Meng Wang, Southeast University, China
- Xin Wang, Tianjin University, China
- Zhe Wang, Griffith University, Australia
- Ningyu Zhang, Zhejiang University, China
Organizing committee
- General Chair: Lei Zou, Peking University, China
- PC Chairs: Xiaowang Zhang, Tianjin University, China
- PC Chairs: Weiguo Zheng, Fudan University, China
- Local Chair: Guohui Xiao, Free University of Bozen-Bolzano, Italy
Publication
GDMA 2022 proceedings will be published in a combined volume of Lecture Notes in Computer Science series published by Springer.
Venue
The conference co-located with DASFAA 2022 (https://www.dasfaa2022.org/) will be held on April 11-14, 2022, in Hyderabad, India.
Contact
All questions about submissions should be emailed to xiaowangzhang@tju.edu.cn (Dr. Zhang)