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.