Graph-Based Representations in Pattern Recognition: 14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 2527, 2025, Proceedings [Paperback]

This book constitutes the refereed proceedings of the 14th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2025, held in Caen, France, in June 2025.

The 25 full papers presented here were carefully reviewed and selected from 33 submissions. They are organized as per the following topical sections: Cybersecurity based on Graph models; Graph based bioinformatics; Graph similarities and graph patterns; GNN: shortcomings and solutions; Graph learning and computer vision.

.- Cybersecurity based on Graph models.

.- A Modular Triple Exchange Co-learning Framework for Anomaly Detection in Scarcely Labeled Graph Data.

.- Advanced Malware Detection in Code Repositories Using Graph Neural Network.

.- Resistance Distance Guided Node Injection Attack on Graph Neural Network.

.- Graph based bioinformatics.

.- Gene Co-Expression Networks Are Poor Proxies for Expert-Curated Gene Regulatory Networks.

.- Graph Neural Network Based on Molecular and Pharmacophoric Features for Drug Design Applications.

.- Graph-Based Representations of Almost Constant Graphs for Nanotoxicity Prediction.

.- Label Modulated Dynamic Graph Convolution for Subcellular Structure Segmentation from Nanoscopy Image.

.- Insights on Using Graph Neural Networks for Sulcal Graphs Predictive Models.

.- Graph Neural Networks for Multimodal Brain Connectivity Analysis in Multiple Sclerosis.

.- Graph similarities and graph patterns.

.-  A Geometric Perspective on Graph Similarity Learning using Convex Hulls.

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