المؤلفون: Jianqi Zhong, Wenming Cao

المصدر: Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

مصطلحات موضوعية: Geometric Algebra, Graph Neural network, Node classification, Graph classification, Feature embedding, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/dca59dad45fd45a79594591fd2046db3

المؤلفون: Xiaoyan Hu, Meiqun Gui, Guang Cheng, Ruidong Li, Hua Wu

المصدر: Digital Communications and Networks, Vol 10, Iss 6, Pp 1881-1893 (2024)

مصطلحات موضوعية: Bitcoin, Anti-money laundering, Mixing service, Ego network, Graph classification, Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352864824001020; https://doaj.org/toc/2352-8648

URL الوصول: https://doaj.org/article/8022b885c4f84bb98cd9fc094402a521

المؤلفون: Mike Heddes, Igor Nunes, Tony Givargis, Alexandru Nicolau, Alex Veidenbaum

المصدر: Journal of Big Data, Vol 11, Iss 1, Pp 1-32 (2024)

مصطلحات موضوعية: Hyperdimensional computing, Vector symbolic architectures, Basis hypervectors, Graph classification, Dynamic hash table, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2196-1115

URL الوصول: https://doaj.org/article/2b8a150e59d340cb9b3269564d1f8ab9

المؤلفون: Yanchun Liu, Xiujing Gao, Zhihong Li

المصدر: International Journal of Digital Earth, Vol 17, Iss 1 (2024)

مصطلحات موضوعية: Remote sensing images, feature matching, graph classification, GAT, supervised learning, Mathematical geography. Cartography, GA1-1776

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955

URL الوصول: https://doaj.org/article/f5309050c2d74b4da871cd0687470049

المؤلفون: Duaa Mohammad Alawad, Ataur Katebi, Md Tamjidul Hoque

المصدر: Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 1818-1839 (2024)

مصطلحات موضوعية: graph classification, graph neural network, gene regulatory network, graph convolution network, pooling layer, graph embedding, Computer engineering. Computer hardware, TK7885-7895

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2504-4990/6/3/89; https://doaj.org/toc/2504-4990

URL الوصول: https://doaj.org/article/27865070abf94a3c8675d7d1e78f8c48

المؤلفون: Konstantina Mardani, Nicholas Vretos, Petros Daras

المصدر: IEEE Access, Vol 12, Pp 166923-166935 (2024)

مصطلحات موضوعية: Graph attention networks, mahalanobis distance, attention mechanism, graph classification, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10749806/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/59dbef8321d74b2f8542b0e578925078

المؤلفون: Francesco Carli, Pietro Foini, Nicolò Gozzi, Nicola Perra, Rossano Schifanella

المصدر: EPJ Data Science, Vol 13, Iss 1, Pp 1-20 (2024)

مصطلحات موضوعية: Team performance, Graph neural networks, Graph representation learning, Sub-graph classification, Computer applications to medicine. Medical informatics, R858-859.7

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2193-1127

URL الوصول: https://doaj.org/article/9915144ab62947a5b60feab2ef9b6cc7

المؤلفون: Maria D. Gonzalez-Lima, Carenne C. Ludena, Gibran G. Otazo-Sanchez

المصدر: IEEE Access, Vol 12, Pp 15791-15799 (2024)

مصطلحات موضوعية: Graph classification, locality sensitive hashing, support vector machines, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10410853/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/1398d2d12fda4258b6ecba3f4e891a13

المؤلفون: Hadis Azizi, Sadegh Sulaimany

المصدر: IEEE Access, Vol 12, Pp 93517-93530 (2024)

مصطلحات موضوعية: Time series analysis, visibility graph, visibility graph analysis, visibility graph classification, complex network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10530964/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/52b9ba8cb193405899f1a74181018c4f

المؤلفون: Noe Cecillon, Vincent Labatut, Richard Dufour, Nejat Arinik

المصدر: IEEE Access, Vol 12, Pp 151303-151316 (2024)

مصطلحات موضوعية: Whole-graph embedding, signed graphs, graph classification, graph neural networks, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10703042/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/d9b2c420d713485a9276fd3f7112b0f3

المؤلفون: Chen Wang, Lijun Feng, Sizu Hou, Guohui Ren, Wenyao Wang

المصدر: Information, Vol 15, Iss 10, p 650 (2024)

مصطلحات موضوعية: improved empirical wavelet transform, weighted permutation entropy, GINs, graph classification, fault section location, Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2078-2489/15/10/650; https://doaj.org/toc/2078-2489

URL الوصول: https://doaj.org/article/b904c9f63ceb4077ba7410cdaf3035de

المؤلفون: Frazzetto P., Pasa L., Navarin N., Sperduti A.

المساهمون: Frazzetto, P., Pasa, L., Navarin, N., Sperduti, A.

مصطلحات موضوعية: graph classification, graph neural network, multiplicative integration, nodes aggregation, structured data

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001236958200070; ispartofbook:Proceedings of the ACM Symposium on Applied Computing; 39th Annual ACM Symposium on Applied Computing, SAC 2024; volume:1152; firstpage:474; lastpage:481; numberofpages:8; https://hdl.handle.net/11577/3534350

الاتاحة: https://hdl.handle.net/11577/3534350
https://doi.org/10.1145/3605098.3636016
https://dl.acm.org/doi/abs/10.1145/3605098.3636016

المؤلفون: Jan Przybyszewski, Maciej Malawski, Sabina Lichołai

المصدر: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-20 (2023)

مصطلحات موضوعية: Word2vec, Graph neural networks, Target prediction, RNA interference, Graph classification, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1471-2105

URL الوصول: https://doaj.org/article/cb922f847cdd4fc4adfa2c159031e124

المؤلفون: Beibei Han, Yingmei Wei, Qingyong Wang, Francesco Maria De Collibus, Claudio J. Tessone

المصدر: Complex & Intelligent Systems, Vol 10, Iss 1, Pp 613-626 (2023)

مصطلحات موضوعية: Anomaly detection, Multi-layer transaction networks, Graph classification, Temporal network, Graph representation learning, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

URL الوصول: https://doaj.org/article/78c8eff59f654eecac9c047d6660bbad

المؤلفون: Cangea, Catalina

المساهمون: Lio, Pietro

مصطلحات موضوعية: 006.3, machine learning, embodied learning, graph neural networks, neural processes, visual question answering, language grounding, graph classification, meta-learning, few-shot learning, graph pooling

URL الوصول: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.834543

المؤلفون: Jie Hu, Gang Xu, Lizhong Qi, Xin Qie

المصدر: Frontiers in Energy Research, Vol 11 (2024)

مصطلحات موضوعية: review of power transmission and transformation, knowledge graph, graph classification, graph convolutional network, knowledge reasoning, General Works

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenrg.2023.1339416/full; https://doaj.org/toc/2296-598X

URL الوصول: https://doaj.org/article/3d68df2194e74facbd118d8b808c85ba

المؤلفون: YongHyun Lee, Eunchan Kim, Jiwoong Choi, Changhyun Lee

المصدر: Machine Learning: Science and Technology, Vol 5, Iss 4, p 045072 (2024)

مصطلحات موضوعية: graph neural network, graph classification, protein classification, matrix decomposition, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Relation: https://doi.org/10.1088/2632-2153/ad979b; https://doaj.org/toc/2632-2153; https://doaj.org/article/1af5f4c0ee61418cb19932f13510f2dc

الاتاحة: https://doi.org/10.1088/2632-2153/ad979b
https://doaj.org/article/1af5f4c0ee61418cb19932f13510f2dc

المؤلفون: MA, Rongrong, PANG, Guansong, CHEN, Ling

المصدر: Research Collection School Of Computing and Information Systems

مصطلحات موضوعية: Graph classification, Imbalanced learning, Oversampling, Graph neural networks, Computer Sciences, Graphics and Human Computer Interfaces

وصف الملف: application/pdf

Relation: https://ink.library.smu.edu.sg/sis_research/9764; https://ink.library.smu.edu.sg/context/sis_research/article/10764/viewcontent/2405.04903v2.pdf

الاتاحة: https://ink.library.smu.edu.sg/sis_research/9764
https://doi.org/10.1109/IJCNN60899.2024.10651097
https://ink.library.smu.edu.sg/context/sis_research/article/10764/viewcontent/2405.04903v2.pdf

المؤلفون: Guy Austern, Tanya Bloch, Yael Abulafia

المصدر: Buildings, Vol 14, Iss 2, p 527 (2024)

مصطلحات موضوعية: machine learning, graph neural networks, building information modeling, classification, semantic enrichment, graph classification, Building construction, TH1-9745

Relation: https://www.mdpi.com/2075-5309/14/2/527; https://doaj.org/toc/2075-5309; https://doaj.org/article/e9fcf7b81b214aab9a3529e5791a661a

الاتاحة: https://doi.org/10.3390/buildings14020527
https://doaj.org/article/e9fcf7b81b214aab9a3529e5791a661a

المؤلفون: Stanovic, Stevan, Gaüzère, Benoit, Brun, Luc

المساهمون: École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), Université de Caen Normandie (UNICAEN), Equipe Image - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU), Université de Rouen Normandie (UNIROUEN), Université Le Havre Normandie (ULH), Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes (LITIS), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA), ANR-21-CE23-0025,CoDeGNN,Convolution et Decimation pour les réseaux de neurones sur graphes(2021)

المصدر: 13th IAPR-TC15 International Workshop on Graph-Based Representations in Pattern Recognition (GbR 2023)
https://hal.science/hal-04160860
13th IAPR-TC15 International Workshop on Graph-Based Representations in Pattern Recognition (GbR 2023), Sep 2023, Vietri Sul Mare, Italy. ⟨10.1007/978-3-031-42795-4_11⟩

مصطلحات موضوعية: Graph Neural Networks, Graph Pooling, Graph Classification, Maximal Independent Set, Edge Selection, Graph Neural Networks Graph Pooling Graph Classification Maximal Independent Set Edge Selection, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

جغرافية الموضوع: Vietri Sul Mare, Italy

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2307.13011; hal-04160860; https://hal.science/hal-04160860; https://hal.science/hal-04160860/document; https://hal.science/hal-04160860/file/Maximal%20Independent%20Sets%20for%20Pooling%20in%20Graph%20Neural%20Networks.pdf; ARXIV: 2307.13011

الاتاحة: https://hal.science/hal-04160860
https://hal.science/hal-04160860/document
https://hal.science/hal-04160860/file/Maximal%20Independent%20Sets%20for%20Pooling%20in%20Graph%20Neural%20Networks.pdf
https://doi.org/10.1007/978-3-031-42795-4_11