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ORCID13th GbRPR 2023: Vietri sul Mare, Italy
- Mario Vento
, Pasquale Foggia, Donatello Conte, Vincenzo Carletti:
Graph-Based Representations in Pattern Recognition - 13th IAPR-TC-15 International Workshop, GbRPR 2023, Vietri sul Mare, Italy, September 6-8, 2023, Proceedings. Lecture Notes in Computer Science 14121, Springer 2023, ISBN 978-3-031-42794-7
Graph Kernels and Graph Algorithms
- Jiaqi Zhang, Cheng-Lin Liu, Xiaoyi Jiang:
Quadratic Kernel Learning for Interpolation Kernel Machine Based Graph Classification. 3-14 - Domenico Tortorella, Alessio Micheli:
Minimum Spanning Set Selection in Graph Kernels. 15-24 - Anthony Gillioz, Kaspar Riesen:
Graph-Based vs. Vector-Based Classification: A Fair Comparison. 25-34 - Filip Malmberg, Alexandre X. Falcão:
A Practical Algorithm for Max-Norm Optimal Binary Labeling of Graphs. 35-45 - Aymen Ourdjini, Abd Errahmane Kiouche, Hamida Seba:
An Efficient Entropy-Based Graph Kernel. 46-56
Graph Neural Networks
- Mariana de Araujo Souza, Robert Sabourin, George Darmiton da Cunha Cavalcanti, Rafael Menelau Oliveira E. Cruz:
GNN-DES: A New End-to-End Dynamic Ensemble Selection Method Based on Multi-label Graph Neural Network. 59-69 - Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai, Edwin R. Hancock:
C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling. 70-80 - Sarah Fadlallah, Natàlia Segura-Alabart, Carme Julià, Francesc Serratosa:
Splitting Structural and Semantic Knowledge in Graph Autoencoders for Graph Regression. 81-91 - Clément Glédel, Benoit Gaüzère, Paul Honeine:
Graph Normalizing Flows to Pre-image Free Machine Learning for Regression. 92-101 - Mathias Fuchs, Kaspar Riesen:
Matching-Graphs for Building Classification Ensembles. 102-112 - Stevan Stanovic, Benoit Gaüzère, Luc Brun:
Maximal Independent Sets for Pooling in Graph Neural Networks. 113-124
Graph-Based Representations and Applications
- Vincenzo Carletti, Pasquale Foggia, Mario Vento:
Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural Networks. 127-138 - Axel Andersson, Andrea Behanova, Carolina Wählby, Filip Malmberg:
Cell Segmentation of in situ Transcriptomics Data Using Signed Graph Partitioning. 139-148 - Tomasz Tarasiewicz, Michal Kawulok:
Graph-Based Representation for Multi-image Super-Resolution. 149-159 - Majid Banaeyan, Walter G. Kropatsch:
Reducing the Computational Complexity of the Eccentricity Transform of a Tree. 160-171 - Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen:
Graph-Based Deep Learning on the Swiss River Network. 172-181
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