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| Link zu diesem Datensatz | https://d-nb.info/1368134858 |
| Art des Inhalts | Konferenzschrift |
| Titel | Graph-Based Representations in Pattern Recognition : 14th IAPR-TC-15 International Workshop, GbRPR 2025, Caen, France, June 25–27, 2025, Proceedings / edited by Luc Brun, Vincenzo Carletti, Sébastien Bougleux, Benoît Gaüzère |
| Person(en) |
Brun, Luc (Herausgeber) Carletti, Vincenzo (Herausgeber) Bougleux, Sébastien (Herausgeber) Gaüzère, Benoît (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XI, 278 p. 76 illus., 68 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-94138-2 Printed edition:: ISBN: 978-3-031-94140-5 |
| Inhalt | -- 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 |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2506080407434.736885594614 DOI: 10.1007/978-3-031-94139-9 |
| URL | https://doi.org/10.1007/978-3-031-94139-9 |
| ISBN/Einband/Preis | 978-3-031-94139-9 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15727 |
| DDC-Notation | 006.42 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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