Výsledky vyhledávání - Graph autoencoder*

scZIGVAE: A Variational Graph Attention Autoencoder Based on the Zero-Inflated Negative Binomial Distribution for Clustering Single-cell RNA-Seq Data

Autoři: Yutian Wang Ke Gao Zhaomei Li a další

Zdroj: Current Bioinformatics. 20:721-735

Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics

Autoři: Mohamed Salem Witesyavwirwa Vianney Kambale Ali Deeb a další

Zdroj: IEEE Access, Vol 13, Pp 129721-129740 (2025)

Témata: Analog/mixed-signal schematics, autoencoders, graph neural networks, Electrical engineering. Electronics. Nuclear engineering, graph attention networks, circuit recognition, data augmentation, TK1-9971

Přístupová URL adresa: https://doaj.org/article/14fefe38593b44f587e7b112ee45b1b5

Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis

Autoři: Yueying Li Xiaotong Zhang Shihan Guan a další

Zdroj: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 33, Pp 1550-1561 (2025)

Témata: Male, Adolescent, population diseases diagnosis, Autism Spectrum Disorder, functional connectivity, neurodevelopmental disorder diagnosis, Electroencephalography, RM1-950, Autoencoder, Brain network, Machine Learning, Neurodevelopmental Disorders, Attention Deficit Disorder with Hyperactivity, graph convolutional network, Medical technology, Humans, Female, Therapeutics. Pharmacology, Neural Networks, Computer, R855-855.5, Child, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40257873
https://doaj.org/article/e0d8758092894d71824fcd1792535af1

Enhancing Fraud Detection in Banking With Deep Learning: Graph Neural Networks and Autoencoders for Real-Time Credit Card Fraud Prevention

Autoři: Fawaz Khaled Alarfaj Shabnam Shahzadi

Zdroj: IEEE Access, Vol 13, Pp 20633-20646 (2025)

Témata: fraud detection, autoencoders, graph neural network, Deep learning, Electrical engineering. Electronics. Nuclear engineering, credit card, TK1-9971

Přístupová URL adresa: https://doaj.org/article/38dea8a8d63542889bf6896a9df60482

RPI-GGCN: Prediction of RNA-Protein Interaction Based on Interpretability Gated Graph Convolution Neural Network and Co-Regularized Variational Autoencoders

Autoři: Yifei Wang Pengju Ding Congjing Wang a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 36:7681-7695

Témata: RNA, Humans, RNA-Binding Proteins, Computational Biology, Proteins, Neural Networks, Computer, Autoencoder, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38709606

Multi-modal graph convolutional network for vessel trajectory prediction based on cooperative intention enhance using conditional variational autoencoder

Autoři: Jiang, Junhao Zuo, Yi Li, Zhiyuan

Zdroj: Reliability Engineering and System Safety. 267

Témata: Graph convolutional network, Trajectory prediction, Cooperative intention constructor, Intelligent situational awareness systems, Conditional variational autoencoder, Multi-modal interaction extractor

Přístupová URL adresa: https://research.chalmers.se/publication/549377

Signed versus isomorphic graph autoencoders for microRNA–single–nucleotide polymorphisms network reconstruction in periodontal osteo-genomic landscapes

Autoři: Sarvagya Sharma

Zdroj: Gaceta Médica de Caracas. 133:675-685

MGABLS: a broad learning system combining a graph attention autoencoder and manifold learning for few-shot defect detection

Autoři: Wanbin Zha Wei Guo

Zdroj: Insight - Non-Destructive Testing and Condition Monitoring. 67:569-576

Graph Positional Autoencoders as Self-supervised Learners

Autoři: Yang Liu Deyu Bo Wenxuan Cao a další

Zdroj: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :1867-1878

Témata: Machine Learning, FOS: Computer and information sciences, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2505.23345

Exploring the latent space distribution of a graph autoencoder trained on 3D models of modernist architecture

Autoři: Erik Bauscher Thomas Wortmann

Zdroj: International Journal of Architectural Computing. 23:742-752

A Novel Framework for Predicting Phage-Host Interactions via Host Specificity-Aware Graph Autoencoder

Autoři: Zhen Xiao Han Sun Ankang Wei a další

Zdroj: IEEE Journal of Biomedical and Health Informatics. 29:3069-3078

Témata: Bacteria, Host-Pathogen Interactions, Computational Biology, Humans, Bacteriophages, Autoencoder, Host Specificity, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40030240

Importance weighted variational graph autoencoder

Autoři: Yuhao Tao Lin Guo Shuchang Zhao a další

Zdroj: Complex & Intelligent Systems, Vol 12, Iss 1, Pp 1-16 (2025)

Témata: Graph neural networks, Variational graph autoencoder, Variational inference, Importance weighted, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/b111fb84353f458ab68cb00bba7ce0ad

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes

Autoři: Yige Zhao Jianxiang Yu Yao Cheng a další

Zdroj: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1. :2067-2078

Témata: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Social and Information Networks, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2311.07929

WAGE: Weight-Sharing Attribute-Missing Graph Autoencoder

Autoři: Wenxuan Tu Sihang Zhou Xinwang Liu a další

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:5760-5777

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40184302

GAE4HT: Detecting Hardware Trojans with Graph Autoencoder-Trained on Golden Model Data Flow Graphs

Autoři: Daehyeon Lee Junghee Lee

Zdroj: Proceedings of the 20th ACM Asia Conference on Computer and Communications Security. :1175-1187

Mathematical Modeling of Aβ-42 Dimerization Dynamics: Integrating Physics-Based Simulations, Graph-Based Variational Autoencoder-Driven Neural Relational Inference, and Chaos Theory

Autoři: Ehsan Sayyah Emel Kurul Hüseyin Tunç a další

Zdroj: ACS Chemical Neuroscience. 16:3513-3526

Toward Adaptive and Interpretable Process Monitoring: Incremental Variational Graph Attention Autoencoder With Probabilistic Inference

Autoři: Mingjie Lv Yonggang Li Huanzhi Gao a další

Zdroj: IEEE Transactions on Cybernetics. 55:4114-4127

Deep Graph Convolutional Autoencoder With Conditional Normalizing Flow for Power Distribution Systems Fault Classification and Location

Autoři: Mohsen Saffari Mahdi Khodayar Mohammad E. Khodayar a další

Zdroj: IEEE Transactions on Artificial Intelligence. 6:2448-2463

Modelling and solving sustainable supply chain network design based on graph autoencoder clustering algorithm

Autoři: Yuhan Guo Runsheng Chen Youssef Boulaksil a další

Zdroj: International Journal of Production Research. :1-27

Reinforcement Learning and Spatio-Temporal Graph Neural Networks for Alzheimer's Disease Progression Prediction with Variational Autoencoder-Based Data Imputation

Autoři: Garima Shukla Vanshaj Awasthi Sampurna Roy a další

Zdroj: 2025 12th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP). :1-7