LEADER 05351nam 22007815 450 001 996664551803316 005 20250607130238.0 010 $a3-031-94139-X 024 7 $a10.1007/978-3-031-94139-9 035 $a(CKB)39239999200041 035 $a(MiAaPQ)EBC32149952 035 $a(Au-PeEL)EBL32149952 035 $a(DE-He213)978-3-031-94139-9 035 $a(OCoLC)1524420698 035 $a(EXLCZ)9939239999200041 100 $a20250607d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGraph-Based Representations in Pattern Recognition $e14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25?27, 2025, Proceedings /$fedited by Luc Brun, Vincenzo Carletti, Sébastien Bougleux, Benoît Gaüzère 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (464 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15727 311 08$a3-031-94138-1 327 $a -- 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. 330 $aThis book constitutes the refereed proceedings of the 14th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2025, held in Caen, France, in June 2025. The 25 full papers presented here were carefully reviewed and selected from 33 submissions. They are organized as per the following topical sections: Cybersecurity based on Graph models; Graph based bioinformatics; Graph similarities and graph patterns; GNN: shortcomings and solutions; Graph learning and computer vision. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15727 606 $aPattern recognition systems 606 $aComputer science$xMathematics 606 $aDiscrete mathematics 606 $aComputer graphics 606 $aAlgorithms 606 $aArtificial intelligence$xData processing 606 $aArtificial intelligence 606 $aAutomated Pattern Recognition 606 $aDiscrete Mathematics in Computer Science 606 $aComputer Graphics 606 $aAlgorithms 606 $aData Science 606 $aArtificial Intelligence 615 0$aPattern recognition systems. 615 0$aComputer science$xMathematics. 615 0$aDiscrete mathematics. 615 0$aComputer graphics. 615 0$aAlgorithms. 615 0$aArtificial intelligence$xData processing. 615 0$aArtificial intelligence. 615 14$aAutomated Pattern Recognition. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aComputer Graphics. 615 24$aAlgorithms. 615 24$aData Science. 615 24$aArtificial Intelligence. 676 $a006.4 700 $aBrun$b Luc$01760867 701 $aCarletti$b Vincenzo$01827581 701 $aBougleux$b Sébastien$01827582 701 $aGaüzère$b Benoît$01827583 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996664551803316 996 $aGraph-Based Representations in Pattern Recognition$94395731 997 $aUNISA