國立虎尾科技大學 |

Graph-based representations in pattern recognition = 14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25-27, 2025 : proceedings /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Graph-based representations in pattern recognition/ edited by Luc Brun ... [et al.].
Reminder of title:	14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25-27, 2025 : proceedings /
remainder title:	IAPR-TC-15
other author:	Brun, Luc.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xi, 278 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Pattern recognition systems - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-94139-9
ISBN:	9783031941399

Graph-based representations in pattern recognition = 14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25-27, 2025 : proceedings /
Graph-based representations in pattern recognition14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25-27, 2025 : proceedings /[electronic resource] :IAPR-TC-15edited by Luc Brun ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xi, 278 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,157271611-3349 ;. - Lecture notes in computer science ;6140..

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.

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.

ISBN: 9783031941399

Standard No.: 10.1007/978-3-031-94139-9doiSubjects--Topical Terms:

568203
Pattern recognition systems
--Congresses.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Graph-based representations in pattern recognition = 14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25-27, 2025 : proceedings /
LDR:03932nam a2200373 a 4500 001 1159382
003 DE-He213
005 20250607130238.0
006 m d
007 cr nn 008maaau
008 251029s2025 sz s 0 eng d
020 $a 9783031941399 $q (electronic bk.)
020 $a 9783031941382 $q (paper)
024 7 $a 10.1007/978-3-031-94139-9 $2 doi
035 $a 978-3-031-94139-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7882.P3
072 7 $a UYQP $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQP $2 thema
082 0 4 $a 006.4 $2 23
090 $a TK7882.P3 $b G291 2025
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Graph-based representations in pattern recognition $h [electronic resource] : $b 14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25-27, 2025 : proceedings / $c edited by Luc Brun ... [et al.].
246 3 $a IAPR-TC-15
246 3 $a GbRPR 2025
260 $a Cham : $c 2025. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xi, 278 p. : $b ill. (some col.), digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 15727
505 0 $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.
520 $a 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.
650 0 $a Pattern recognition systems $v Congresses. $3 568203 $3 727337
650 0 $a Computer vision $v Congresses. $3 643975 $3 727782
650 0 $a Graph theory $v Congresses. $3 768405
650 1 4 $a Automated Pattern Recognition. $3 1365734
650 2 4 $a Discrete Mathematics in Computer Science. $3 670123
650 2 4 $a Computer Graphics. $3 669895
650 2 4 $a Algorithms. $3 527865
650 2 4 $a Data Science. $3 1174436
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Brun, Luc. $3 674806
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 6140. $3 744199
856 4 0 $u https://doi.org/10.1007/978-3-031-94139-9
950 $a Computer Science (SpringerNature-11645)