Part of the 2025 IEEE World Congress on SERVICES
July 7-12
Helsinki, Finland
Symposia and Workshops: Important Dates
Symposia and Workshop Paper submission deadlines:
See symposium or workshop cfp for paper submission deadlines.
Acceptance notifications:
May 16, 2025
Camera-ready and registration (for all papers):
May 30, 2025
Symposium Organizers
Jia Wu (IEEE Senior Member), Associate Professor, is currently the Research Director for the Centre for Applied Artificial Intelligence and the Director of HDR (Higher Degree Research) in the School of Computing at Macquarie University, Sydney, Australia.
Email: [email protected]
Philip S. Yu (IEEE Fellow) is a Distinguished Professor in the Department of Computer Science at UIC and also holds the Wexler Chair in Information and Technology.
Email: [email protected]
ICWS 2025 Symposium on Graph Data Mining for Services
Paper submission deadline: April 23, 2025
Symposia Paper Submission – EasyChair
select the target symposium/workshop track after logging into EasyChair
Call for Papers
Graphs, as a structural data format, are pervasive in real-world applications and play a critical role in service-oriented computing. Their inherent ability to model complex relationships and dependencies makes them indispensable for optimizing service architectures, enhancing system interoperability, and improving service management. From cloud computing and distributed systems to IoT-driven services, graphs offer powerful solutions for structuring, analyzing, and optimizing service interactions.
This symposium aims to explore the innovative domain of Graph Data Mining within service-oriented architectures, emphasizing how graph-based methods can enhance service discovery, automation, composition, security, and performance optimization. As modern service ecosystems grow in complexity, graph mining techniques are increasingly vital in identifying hidden patterns, optimizing workflows, improving fault tolerance, and managing large-scale service infrastructures efficiently.
Graphs are also essential in various service-centric applications such as service composition and orchestration, dynamic resource scheduling, fault detection in microservices architectures, and enhancing security through anomaly detection. Mining graph structures can improve service reliability and efficiency by enhancing network routing, optimizing service dependencies, and enabling advanced monitoring capabilities.
This symposium will provide a platform for discussing innovations at the intersection of graph mining and service-oriented computing. We invite contributions that not only introduce cutting-edge graph algorithms but also demonstrate their practical applications in improving service quality, automation, and management. Our goal is to gather researchers, practitioners, and industry leaders to explore how graph mining can drive the future of service-oriented computing.
Topics of Interest
The symposium encourages submissions on topics that include, but are not limited to:
- Graph-based models for optimizing service composition, orchestration, and automation
- Advanced graph theory algorithms for service computing networks
- Graph mining for optimizing service workflows and task scheduling
- Graph-based security models for service integrity and anomaly detection
- Graph neural networks for predictive service analytics and fault tolerance
- Graph mining techniques for service performance monitoring and optimization
- Service discovery and recommendation using graph-based approaches
- Graph models for resource allocation in cloud and edge computing services
- Graph-driven insights for improving microservices architecture reliability
- Integrating graph databases for scalable and efficient service management
- Graph visualization techniques for service dependency analysis and monitoring
- Graph mining for the Internet of Things (IoT) and interconnected service ecosystems
This symposium will serve as a hub for discussing breakthrough innovations at the intersection of graph mining and service-oriented computing, fostering collaborations that will shape the next generation of intelligent, adaptive, and efficient service infrastructures.
