Graph-Based Representations in Pattern Recognition

14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25–27, 2025, Proceedings

Häftad, Engelska, 2025

Av Luc Brun, Vincenzo Carletti, Sébastien Bougleux, Benoît Gaüzère, Sebastien Bougleux, Benoit Gauzere

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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.

Produktinformation

Utgivningsdatum2025-06-08
Mått155 x 235 x 16 mm
Vikt446 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor278
FörlagSpringer International Publishing AG
ISBN9783031941382

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.- 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..- VF-GPU: Exploiting Parallel GPU Architectures to Solve Subgraph Isomorphis..- Grammatical Path Network: Unveiling Cycles Through Path Computation..- Deep QMiner: Towards a generalized DeepQ-Learning Approach for Graph Pattern Mining..- GNN: shortcomings and solutions..- An Empirical Investigation of Shortcuts in Graph Learning..- A General Sampling Framework for Graph Convolutional Network Training..- Fusion of GNN and GBDT Models for Graph and Node Classification..- Harnessing GraphSAGE for Learning Representations of Massive Transactional networks..- Entropy-Guided Graph Clustering via Rényi Optimization..- Graph learning and computer vision..- Exploring a Graph Regression Problem in River Networks..- Saliency Matters: from nodes to objects..- Hierarchical super-pixels graph neural networks for image semantic segmentation..- Lifting some Secrets about Contrast Pyramids..- An Evolution Equation Involving the Generalized Biased Infinity Laplacian on Graphs..- Doc2Graph-X: A Multilingual Graph-Based Framework for Form Understanding..- VisHubGAT: Visible Connectivity and Hub Nodes for Multimodal Entity Extraction.