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Graph-Based Representations in Pattern Recognition

13th IAPR-TC-15 International Workshop, GbRPR 2023, Vietri sul Mare, Italy, September 6–8, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Mario Vento

    1. University of Salerno, Fisciano, Italy

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  2. Pasquale Foggia

    1. University of Salerno, Fisciano, Italy

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  3. Donatello Conte

    1. University of Tours, Tours, France

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  4. Vincenzo Carletti

    1. University of Salerno, Fisciano, Italy

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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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Table of contents (16 papers)

  1. Front Matter

    Pages i-xvi
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  2. Graph Kernels and Graph Algorithms

    1. Front Matter

      Pages 1-1
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    2. Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification

      • Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang
      Pages 3-14

    3. Minimum Spanning Set Selection in Graph Kernels

      • Domenico Tortorella, Alessio Micheli
      Pages 15-24

    4. Graph-Based vs. Vector-Based Classification: A Fair Comparison

      • Anthony Gillioz, Kaspar Riesen
      Pages 25-34

    5. A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs

      • Filip Malmberg, Alexandre X. Falcão
      Pages 35-45

    6. An Efficient Entropy-Based Graph Kernel

      • Aymen Ourdjini, Abd Errahmane Kiouche, Hamida Seba
      Pages 46-56

  3. Graph Neural Networks

    1. Front Matter

      Pages 57-57
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    2. GNN-DES: A New End-to-End Dynamic Ensemble Selection Method Based on Multi-label Graph Neural Network

      • Mariana de Araujo Souza, Robert Sabourin, George Darmiton da Cunha Cavalcanti, Rafael Menelau Oliveira e Cruz
      Pages 59-69

    3. C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling

      • Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai et al.
      Pages 70-80

    4. Splitting Structural and Semantic Knowledge in Graph Autoencoders for Graph Regression

      • Sarah Fadlallah, Natália Segura Alabart, Carme Julià, Francesc Serratosa
      Pages 81-91

    5. Graph Normalizing Flows to Pre-image Free Machine Learning for Regression

      • Clément Glédel, Benoît Gaüzère, Paul Honeine
      Pages 92-101

    6. Matching-Graphs for Building Classification Ensembles

      • Mathias Fuchs, Kaspar Riesen
      Pages 102-112

    7. Maximal Independent Sets for Pooling in Graph Neural Networks

      • Stevan Stanovic, Benoit Gaüzère, Luc Brun
      Pages 113-124

  4. Graph-Based Representations and Applications

    1. Front Matter

      Pages 125-125
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    2. Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural Networks

      • Vincenzo Carletti, Pasquale Foggia, Mario Vento
      Pages 127-138

    3. Cell Segmentation of in situ Transcriptomics Data Using Signed Graph Partitioning

      • Axel Andersson, Andrea Behanova, Carolina Wählby, Filip Malmberg
      Pages 139-148

    4. Graph-Based Representation for Multi-image Super-Resolution

      • Tomasz Tarasiewicz, Michal Kawulok
      Pages 149-159

    5. Reducing the Computational Complexity of the Eccentricity Transform of a Tree

      • Majid Banaeyan, Walter G. Kropatsch
      Pages 160-171

    6. Graph-Based Deep Learning on the Swiss River Network

      • Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen
      Pages 172-181
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About this book

This book constitutes the refereed proceedings of the 13th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2023, which took place in Vietri sul Mare, Italy, in September 2023.

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.

Editors and Affiliations

  • University of Salerno, Fisciano, Italy

    Mario Vento, Pasquale Foggia, Vincenzo Carletti

  • University of Tours, Tours, France

    Donatello Conte

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