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ORCID14th GbRPR 2025: Caen, France
- Luc Brun
, Vincenzo Carletti, Sébastien Bougleux, Benoit Gaüzère:
Graph-Based Representations in Pattern Recognition - 14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25-27, 2025, Proceedings. Lecture Notes in Computer Science 15727, Springer 2025, ISBN 978-3-031-94138-2
Cybersecurity Based on Graph Models
- Cyril Perosino, Hamida Seba, Walid Megherbi, Mohammed Haddad:
A Modular Triple Exchange Co-learning Framework for Anomaly Detection in Scarcely Labeled Graph Data. 3-12 - Malak Gouasmia, Abd Errahmane Kiouche, Hamida Seba:
Advanced Malware Detection in Code Repositories Using Graph Neural Networks. 13-23 - Wei Xu, Lixiang Xu, Xiaoyi Jiang:
Resistance Distance Guided Node Injection Attack on Graph Neural Networks. 24-33
Graph Based Bioinformatics
- Suryadipto Sarkar, David B. Blumenthal:
Gene Co-expression Networks are Poor Proxies for Expert-Curated Gene Regulatory Networks. 37-46 - Mariana Azevedo, Luc Brun, Pierre Héroux, Jean Luc Lamotte, Ronan Bureau, Alban Lepailleur:
Graph Neural Network Based on Molecular and Pharmacophoric Features for Drug Design Applications. 47-57 - Natàlia Segura-Alabart, Francesc Serratosa:
Graph-Based Representations of Almost Constant Graphs for Nanotoxicity Prediction. 58-67 - Ananda S. Chowdhury, Snehendu Majhi, Suyog Jadhav, Krishna Agarwal, Dilip K. Prasad:
Label Modulated Dynamic Graph Convolution for Subcellular Structure Segmentation from Nanoscopy Images. 68-78 - Alexis Imbert, Benoit Gaüzère, Sylvain Takerkart, Guillaume Auzias, Paul Honeine:
Insights on Using Graph Neural Networks for Sulcal Graphs Predictive Models. 79-89 - Merlès Subirà-Cribillers, Jan Solé-Casaramona, Josep Lladós, Jordi Casas-Roma:
Graph Neural Networks for Multimodal Brain Connectivity Analysis in Multiple Sclerosis. 90-100
Graph Similarities and Graph Patterns
- Kalvin Dobler, Kaspar Riesen:
A Geometric Perspective on Graph Similarity Learning Using Convex Hulls. 103-112 - Vincenzo Carletti, Pasquale Foggia, Francesco Rosa, Mario Vento:
VF-GPU: Exploiting Parallel GPU Architectures to Solve Subgraph Isomorphism. 113-123 - Jason Piquenot, Louisa Bouzidi, Maxime Bérar, Pierre Héroux, Jean-Yves Ramel, Romain Raveaux, Sébastien Adam:
Grammatical Path Network: Unveiling Cycles Through Path Computation. 124-133 - Assaad Oussama Zeghina, Aurélie Leborgne, Florence Le Ber, Antoine Vacavant:
Deep QMiner: Towards a Generalized Deep Q-Learning Approach for Graph Pattern Mining. 134-144
GNN: Shortcomings and Solutions
- Domenico Tortorella, Michele Fontanesi, Alessio Micheli, Marco Podda:
An Empirical Investigation of Shortcuts in Graph Learning. 147-156 - Abderaouf Gacem, Hamida Seba, Mohammed Haddad:
A General Sampling Framework for Graph Convolutional Network Training. 157-166 - Muhammad Farhan, Nadeem Iqbal Kajla, Malik Daler Ali Awan, Mickaël Coustaty, Muhammad Muzzamil Luqman, Souhail Bakkali:
Fusion of GNN and GBDT Models for Graph and Node Classification. 167-178 - Mihir Tare, Clemens Rattasits, Yiming Wu, Euan Wielewski:
Harnessing GraphSAGE for Learning Representations of Massive Transactional Networks. 179-188 - Ahmed Begga, Guglielmo Beretta, Sebastiano Vascon, Francisco Escolano, Miguel Angel Lozano, Marcello Pelillo:
Entropy-Guided Graph Clustering via Rényi Optimization. 189-199
Graph Learning and Computer Vision
- Benjamin Fankhauser, Vidushi Bigler, Kaspar Riesen:
Exploring a Graph Regression Problem in River Networks. 203-213 - Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni:
Saliency Matters: From Nodes to Objects. 214-223 - Xavier Hoarau, Julien Mille, Hugo Raguet, Romain Raveaux:
Hierarchical Super-Pixels Graph Neural Networks for Image Semantic Segmentation. 224-234 - Walter G. Kropatsch:
Lifting Some Secrets About Contrast Pyramids. 235-245 - Yassine Belkheiri, Sophie Schüpp, Abderrahim Elmoataz:
An Evolution Equation Involving the Generalized Biased Infinity Laplacian on Graphs. 246-256 - Souparni Mazumder, Sanket Biswas, Alloy Das, Josep Lladós:
Doc2Graph-X: A Multilingual Graph-Based Framework for Form Understanding. 257-266 - Quentin Telnoff, Baglan Baitu, Mickaël Coustaty, Fabrice Crohas, Antoine Doucet:
VisHubGAT: Visible Connectivity and Hub Nodes for Multimodal Entity Extraction. 267-276
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