Virtual Special Issue on Advances in Graph-based Representations for Pattern Recognition Call for Papers

Virtual Special Issue on Advances in Graph-based Representations for Pattern
Recognition (AGbR4PR)   Deadline extended (15/03/2020)  



Graph-based representation and learning/inference algorithms are widely
applied to structural pattern recognition, image analysis, machine learning
and computer vision. Facing the multitude of scientific problems and the
wide applications of graph-based representations, the IAPR TC-15
(Graph-based Representations in Pattern Recognition) promotes a series of
workshops called IAPR-TC15 Workshop on Graph-based Representations in
Pattern Recognition (GbR) since more than 20 years. This series of workshops
has benefitted the community in triggering scientific research and
exchanging progresses all along years. The 12th edition of GbR was held in
Tours, France, in June 2019, and saw several original contributions linked
to the actual strong interest for deep learning and artificial intelligence.

This special issue should aim to report the last advances in theory, methods
and applications using graphs for pattern representation and recognition.
The scope ranges from various computing issues like combining machine
learning with graphs, graph mining, graph representations of shapes, images
and networks, to applications in pattern recognition, computer vision and
data mining.



The topics of the Special Issue include, but are not limited to: 

- Graph matching 

- Graph-based image segmentation 

- Machine Learning / Deep Learning on graphs 

- Graph representation of shapes 

- Graph-based learning and clustering 

- Data mining with graphs 

- Graph distance and similarity measures 

- Kernel methods for graphs 

- Graph embedding 

- Belief-propagation methods 

- Graph-cuts methods 

- Graphs in computational topology and bioinformatics 

- Graphs in social network analysis 


Important Dates 

- Submission period: until March 15, 2020

- Notification to Authors for the 1st reviewing round: April 30 2020 

- 1st Revision submission: June 30 2020 

- Notification to Authors for the 2nd reviewing round: August 15 2020 

- 2nd Revision submission: September 30 2020 

- Final Notification to Authors: November 15 2020 

Authors can submit exclusively during the submission period and they should
select the acronym of the special issue (AGbR4PR) as "article type" when
uploading their articles.


Reviewing Process 


The review process will follow the standard PR letters scheme that each
paper will be reviewed by two referees. The referees will include some TC15
program committee members and other invited referees selected from the EES.


Submission Guidelines


All submissions have to be prepared according to the Guide for Authors as
published in the Journal Web Site at

Submissions must be sent through

Authors have to select the acronym "AGbR4PR" as the article type, from the
"Choose Article Type" pull-down menu during the submission process. The
maximal length of a paper is 7 pages in the PRLetters layout and may become
8 in the revised version if referees explicitly request significant
additions. The submitted papers should not have been previously published or
be under consideration for publication elsewhere. If a submission is the
extended version of a conference paper, the original work should be
explicitly referenced and a description of the changes should be provided.
Also, in this case, PRLetters submission should include at least 30% new
material of high relevance (more experiments, proofs of theorems not
included in the conference paper, more comparisons with other methods in the
literature and so on); the title of the PRLetters paper should be different;
the same figures cannot be used, and the parts in common between the
conference paper and the extended version cannot be verbatim the same.


Guest Editors


Donatello Conte (Managing Guest Editor) 

Computer Science Laboratory of Tours (LIFAT - EA 6300), University of Tours 



Jean-Yves Ramel 

Computer Science Laboratory of Tours (LIFAT - EA 6300), University of Tours 



Pasquale Foggia 

Dip. di Ingegneria dell’Informazione ed Elettrica e Matematica Applicata,
University of Salerno