Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14121)
Included in the following conference series:
Conference proceedings info: GbRPR 2023.
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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
Table of contents (16 papers)
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Graph Kernels and Graph Algorithms
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Graph Neural Networks
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Graph-Based Representations and Applications
Other volumes
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Graph-Based Representations in Pattern Recognition
Editors and Affiliations
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