Výsledky vyhledávání - Variational Graph Autoencoder*

Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatiotemporal Forecasting

Autoři: Liang, Guojun, Postdoktor Tiwari, Prayag Nowaczyk, Sławomir a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 33(5):9524-9537

Témata: Diffusion process, graph neural networks (GNNs), spatiotemporal forecasting, variational graph autoencoders (VGAEs)

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-55718
https://doi.org/10.1109/tnnls.2024.3415149

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

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

To Share or Not to Share: Investigating Weight Sharing in Variational Graph Autoencoders

Autoři: Guillaume Salha-Galvan Jiaying Xu

Zdroj: Companion Proceedings of the ACM on Web Conference 2025. :1283-1287

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/2502.16724

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

Improving Variational Graph Autoencoders With Multi-Order Graph Convolutions

Autoři: Lining Yuan Ping Jiang Zhu Wen a další

Zdroj: IEEE Access, Vol 12, Pp 46919-46929 (2024)

Témata: 0202 electrical engineering, electronic engineering, information engineering, Variational graph autoencoders, graph representation learning, graph convolutional networks, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, multi-order neighborhood, high-order information, TK1-9971

Přístupová URL adresa: https://doaj.org/article/025d2e8d9cb746fd8a85da1c8047095c

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

Graph-Based Bitcoin Fraud Detection Using Variational Graph Autoencoders and Supervised Learning

Autoři: Argyrios Koronaios Georgia Koloniari

Zdroj: Procedia Computer Science. 257:817-825

Clustering Diffusion Model with Frequency-Signal Modulation for Variational Graph Autoencoders

Autoři: Junwei Cheng Ke Liang Pengxing Feng a další

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-18

DVGMAE: Self-Supervised Dynamic Variational Graph Masked Autoencoder

Autoři: Mengzhou Gao Xinxun Zhang Pengfei Jiao a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. :1-13

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

Using Multi-Encoder Semi-Implicit Graph Variational Autoencoder to Analyze Single-Cell RNA Sequencing Data

Autoři: Shengwen Tian Cunmei Ji Jiancheng Ni a další

Zdroj: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21:2280-2291

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39255084

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