We cordially invite you to participate in the 1st Workshop on Graph-Based Knowledge Extraction from Real-World Data, to be held in conjunction with the prestigious 2024 IEEE International Conference on Artificial Intelligence for Data & Knowledge Engineering (AIDKE), scheduled for December 11-13, 2024.

This workshop aims to bring together researchers and practitioners in the field of graph-based knowledge extraction to share the latest research and advancements in this domain. We will address timely topics including:

-Modeling complex systems with graphs

-Role of graphs in biology, finance, and communication networks

-Techniques for graph construction from raw data

-Large-scale graph processing and distributed algorithms

-Foundations of graph theory and its application to Graph Neural Networks

-Theoretical underpinnings of Graph Neural Networks

-Application of Graph Neural Networks  for real-world data analysis

-Representation of real-world data through graphs

-Advances in Graph Neural Networks  architectures and training techniques

- Knowledge extraction in bioinformatics, financial systems, social networks, ecological informatics, biomedical engineering and cybersecurity

- Integration of Graph Neural Networks  with other machine learning models

- Graph Neural Network Explainability

Why attend?

Expand your knowledge: Interact with world-renowned experts and stay updated on the latest trends in the field.

Present your work: Submit your research contributions and engage with the academic community.

Forge collaborations: Establish new synergies and initiate fruitful research collaborations.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. Papers must be written in English be prepared using IEEE LaTeX template or doc template:

https://www.ieee.org/conferences/publishing/templates.html

https://www.overleaf.com/latex/templates/ieee-conference-template/grfzhhncsfqn

The following paper categories are welcome:

• Short Papers describing a small focused contributions, late-breaking developments, or in-progress work and must not exceed 4 pages.
• Long Papers describing full contribution with well supported methods and adequate related works, page limit is 8 pages.

The submission page is at https://easychair.org/my/conference?conf=gkerd2024

Committees

Program Committee

• Gabriella Casalino, University of Bari, Italy

• Antonino Fiannaca, Institute for High-Performance Computing and Networking - National Research Council of Italy 

• Massimo La Rosa, Institute for High-Performance Computing and Networking - National Research Council of Italy 

• Raffaella Lanzarotti, University of Milan, Italy

• Carmelo Militello, Institute for High-Performance Computing and Networking - National Research Council of Italy 

• Francesco Prinzi, University of Palermo, Italy

• Vincenzo Mariano Scarrica, Università degli Studi di Napoli "Parthenope", Italy

• Gennario Vessio, University di Bari, Italy

Organizing committee

• Domenico Amato (domenico.amato01 at unipa.it) Department of Mathematics and Computer Science - University of Palermo

• Salvatore Calderaro (salvatore.calderaro01 at unipa.it) Department of Mathematics and Computer Science - University of Palermo

• Giosuè Lo Bosco (giosue.lobosco at unipa.it) Department of Mathematics and Computer Science - University of Palermo

• Riccardo Rizzo (riccardo.rizzo at icar.cnr.it) Institute for High-Performance Computing and Networking - National Research Council of Italy

• Filippo Vella (filippo.vella at icar.cnr.it) Institute for High-Performance Computing and Networking - National Research Council of Italy

Contact

All questions about submissions should be emailed to the organizing committee