Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14121)
Conference series link(s): GbRPR: International Workshop on Graph-Based Representations in Pattern Recognition
Conference proceedings info: GbRPR 2023.
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Table of contents (16 papers)
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Front Matter
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Graph Kernels and Graph Algorithms
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Front Matter
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Graph Neural Networks
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Front Matter
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Graph-Based Representations and Applications
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Front Matter
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About this book
The 16 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections on graph kernels and graph algorithms; graph neural networks; and graph-based representations and applications.
Keywords
- graph algorithms
- graph-based representation
- structural pattern recognition
- graph kernels
- graph neural networks
- graph clustering
- graph matching
- graph pooling
- graph-based classifiers
Editors and Affiliations
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University of Salerno, Fisciano, Italy
Mario Vento, Pasquale Foggia, Vincenzo Carletti
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University of Tours, Tours, France
Donatello Conte
Bibliographic Information
Book Title: Graph-Based Representations in Pattern Recognition
Book Subtitle: 13th IAPR-TC-15 International Workshop, GbRPR 2023, Vietri sul Mare, Italy, September 6–8, 2023, Proceedings
Editors: Mario Vento, Pasquale Foggia, Donatello Conte, Vincenzo Carletti
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-42795-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-42794-7Published: 24 August 2023
eBook ISBN: 978-3-031-42795-4Published: 23 August 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 184
Number of Illustrations: 6 b/w illustrations, 27 illustrations in colour
Topics: Pattern Recognition, Discrete Mathematics in Computer Science, Computer Graphics, Algorithms, Data Structures and Information Theory, Artificial Intelligence
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Published in cooperation with
http://www.iapr.org/