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TOPICS OF INTEREST

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– Advances in computing and learning on graphs

– Graph Neural Networks (GNNs)

               – Graph data fusion methods and graph embedding techniques

– Efficient, parallel, and distributed processing frameworks for big graphs

– Novel dynamic, spatial, and temporal graphs for recognition and learning

– Emerging graph-based methods in computer vision

– Interactivity, explainability, and trust in graph-based learning methods

– Applications of GNNs

– Human behavior and scene understanding using graphs

– Benchmarks for GNNs

– Graph signal processing

– Application of graph data processing in biology, healthcare, transportation, natural language processing, social networks, etc.

For further details please visit the special issue website:

https://www.computer.org/digital-library/journals/ec/graph-based-methods

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IMPORTANT DATES

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Submission deadline: 30 June 2022  

First review notification: 30 November 2022

Revision submission: 15 February 2023

Second review notification: 30 April 2023 

Journal publication: first half of 2023

Should you have any further enquiry please do not hesitate to contact us.

Best regards,

Donatello Conte, Université de Tours, Laboratoire d’Informatique Fondamentale et Appliquée de Tours, France

Alessandro D’Amelio, Università degli Studi di Milano, Dipartimento di Informatica, Italy

Raffaella Lanzarotti, Università degli Studi di Milano, Dipartimento di Informatica, Italy

Jianyi Lin, Università Cattolica del Sacro Cuore, Dipartimento di Scienze Statistiche, Italy

Jean-Yves Ramel, Université de Tours, Laboratoire d’Informatique Fondamentale et Appliquée de Tours, France

(Guest Editors)