Výsledky vyhledávání - Variational 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

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

Locational False Data Injection Attack Detection in Smart Grid Using Recursive Variational Graph Autoencoder

Autoři: Yufeng Wang Ziyan Lu Jianhua Ma a další

Zdroj: IEEE Internet of Things Journal. 12:13697-13708

A Variational Graph Autoencoder Aided Canonical Correlation Analysis-Based Online Abnormal Patterns Detection Method for Buildings HVAC Systems

Autoři: Xiaogang Pan Qiao Deng Yuanyuan Jiao a další

Zdroj: IEEE Transactions on Consumer Electronics. 71:6867-6879

Prediction of Associations between Nanoparticle, Drug and Cancer Using Variational Graph Autoencoder

Autoři: Emrah İNAN

Zdroj: Volume: 26, Issue: 76 167-172
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi

Témata: Bilgisayar Görüşü ve Çoklu Ortam Hesaplama (Diğer), Varyasyonel Çizge Otokodlayıcı, Nanoparçacıklar, İlaç-hastalık İlişkisi, Variational Graph Autoencoder, Nanoparticles, Drug–disease Association, Computer Vision and Multimedia Computation (Other), 3. Good health

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/deumffmd/issue/82757/1300214

Accurate identification of snoRNA targets using variational graph autoencoder to advance the redevelopment of traditional medicines

Autoři: Zhina Wang Yangyuan Chen Hongming Ma a další

Zdroj: Front Pharmacol
Frontiers in Pharmacology, Vol 15 (2025)

Témata: Pharmacology, lung cancer, redevelopment of traditional medicines, variational graph autoencoder (VGAE), snoRNA therapeutic targets, Therapeutics. Pharmacology, RM1-950, artificial intelligence (AI)

Přístupová URL adresa: https://doaj.org/article/c553efc486264dfca34df3bbee44c6bc

A${}^{3}$VGAE: An Attribute-Augmented Adversarial Variational Graph Autoencoder for Link Prediction

Autoři: Zhihong Pan Zhijie Zhong Lingling Wei a další

Zdroj: IEEE Transactions on Computational Social Systems. :1-16

Camouflaged Variational Graph AutoEncoder against Attribute Inference Attacks for Cross-Domain Recommendation

Autoři: Yudi Xiong Yongxin Guo Weike Pan a další

Zdroj: IEEE Transactions on Knowledge and Data Engineering. :1-17

Variational graph autoencoder for reconstructed transcriptomic data associated with NLRP3 mediated pyroptosis in periodontitis

Autoři: Pradeep K. Yadalam Prabhu Manickam Natarajan Carlos M. Ardila

Zdroj: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-11 (2025)

Témata: Inflammasomes, Science, Gene Expression Profiling, Autoencoder, Article, Inflammasome, Deep Learning, K means clustering, NLR Family, Pyrin Domain-Containing 3 Protein, Pyroptosis, Medicine, Humans, Periodontitis, Transcriptome, Variational autoencoders, Porphyromonas gingivalis

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39809940
https://doaj.org/article/733fe6400aec4dbc999961462d4021f7

Physics-Guided Variational Graph Autoencoder For Air Quality Inference

Autoři: Rodrigo Bonet, Esther Deligiannis, Nikos FORMER_Multidimensional signal processing and communication a další

Přispěvatelé: Rodrigo Bonet, Esther Deligiannis, Nikos FORMER_Multidimensional signal processing and communication a další

Zdroj: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :6940-6944

Přístupová URL adresa: https://biblio.vub.ac.be/vubir/physicsguided-variational-graph-autoencoder-for-air-quality-inference(e357924a-16e4-42b3-a400-06c1d5eb545f).html

Microexpression Recognition from Action Unit-Variational Graph Autoencoder

Autoři: Fairuuz Nurdiaz Amaanullah Mohammad Iqbal Retno Anggraini a další

Zdroj: 2024 7th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). :391-396

Predicting CircRNA-Disease Associations Through Non-negative Matrix Factorization and Adversarially Regularized Variational Graph Autoencoder

Autoři: Mianshuo Lu Lei Wang Jinzhu Sun a další

Zdroj: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). :1060-1065

Leverage Variational Graph Representation for Model Poisoning on Federated Learning

Autoři: Kai Li Xin Yuan Jingjing Zheng a další

Přispěvatelé: Kai Li Xin Yuan Jingjing Zheng a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 36:116-128

Témata: FOS: Computer and information sciences, Computer Science - Cryptography and Security, Computer Science - Artificial Intelligence, Poisoning, 4. Education, Federated learning, 15. Life on land, 7. Clean energy, Data-untethered model, 3. Good health, Artificial Intelligence (cs.AI), Variational graph autoencoders, 10. No inequality, Cryptography and Security (cs.CR)

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38700966
http://arxiv.org/abs/2404.15042
https://hdl.handle.net/10400.22/25620

Synthetic electronic health records generated with variational graph autoencoders

Autoři: Nikolentzos, Giannis Vazirgiannis, Michalis Xypolopoulos, Christos a další

Zdroj: npj Digital Medicine. 6(1)

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-51399
https://doi.org/10.1038/s41746-023-00822-x

PathVGAE: a path-based variational graph autoencoder for learning to rank roads.

Autoři: Wagner, Christopher Alizadeh, Danial Dodge, Somayeh

Zdroj: International Journal of Geographical Information Science. Nov2025, p1-21. 21p. 6 Illustrations.

Témata: *GRAPH neural networks, *MACHINE learning, *RISK assessment

MAVGAE: a multimodal framework for predicting asymmetric drug–drug interactions based on variational graph autoencoder

Autoři: Zengqian, Deng Jie, Xu Yinfei, Feng a další

Zdroj: Computer Methods in Biomechanics and Biomedical Engineering. 28:1098-1110

Témata: Humans, Drug Interactions, Autoencoder, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38314513

Identification of microbe–disease signed associations via multi-scale variational graph autoencoder based on signed message propagation

Autoři: Huan Zhu Hongxia Hao Liang Yu

Zdroj: BMC Biol
BMC Biology, Vol 22, Iss 1, Pp 1-15 (2024)

Témata: 0301 basic medicine, 0303 health sciences, QH301-705.5, Microbiota, Computational Biology, 3. Good health, Variational graph autoencoder, 03 medical and health sciences, Signed message propagation, Microbe-disease association, Humans, Disease, Biology (General), Algorithms, XGBoost, Research Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39148051
https://doaj.org/article/dac9fc4571f045d086486c10341093e2

LG-VGAE: a local and global collaborative variational graph autoencoder for detecting crypto money laundering

Autoři: Yifan Chen Zhiyuan Chen Hafeez Ullah Amin

Zdroj: Knowledge and Information Systems.

MODAPro: Explainable Heterogeneous Networks with Variational Graph Autoencoder for Mining Disease-Specific Functional Molecules and Pathways from Omics Data.

Autoři: Zhao J He J Guan P a další

Zdroj: Analytical chemistry [Anal Chem] 2025 Oct 28; Vol. 97 (42), pp. 23222-23233. Date of Electronic Publication: 2025 Oct 19.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0370536 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-6882 (Electronic) Linking ISSN: 00032700 NLM ISO Abbreviation: Anal Chem Subsets: MEDLINE

Výrazy ze slovníku MeSH: Data Mining* , Deep Learning*, Humans ; Autoencoder