Virtual Special Issue of Pattern Recognition Letters Graph-based Representations for Pattern Recognition: New Results and Challenges (GbRNRC).

This special issue is aimed to report the state of the art in theory, methods and applications in graph- based pattern representation and recognition. The scope ranges from various methodological and algorithmic issues of graph-based representation, learning and inference, to several applications in pattern recognition, computer vision and data mining.
The topics of interest for this special issue include (but are not limited to):

• Graph based methodologies for pattern recognition
• Graph representation of images and shapes
• Graph neural networks
• Graph matching and classification
• Graph distance and similarity measures
• Graph based learning and clustering
• Graph kernels and graph embeddings
• Graphs in bioinformatics
• Graph in social network analysis
• Other graph based applications in pattern recognition


The submission will be open from the 1st to the 20th of December 2023.


Guest editors:

- Prof. Pasquale Foggia (Managing guest-editor) - Università di Salerno (Italy) E-mail: pfoggia@unisa.it
- Prof. Mario Vento - Università di Salerno (Italy) E-mail: mvento@unisa.it
- Prof. Donatello Conte - Université de Tours (France)
E-mail: donatello.conte@univ-tours.fr

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