Saturday, October 12, 2024

[DMANET] Cfp 1st Workshop on Graph-Based Knowledge Extraction from Real-World Data - deadline: 23 Oct 2024

1st Workshop on Graph-Based Knowledge Extraction from Real-World Data

@

IEEE AI x DKE

[paper submission deadline: 23 Oct 2024]

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.

Important deadlines:

Paper submission: October 23, 2024

For further information and to submit your paper, please visit the workshop website: https://sites.google.com/icar.cnr.it/graph-based-knowledge


We look forward to your valuable contributions.

The 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


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