Cargando…

Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder

The last decades have witnessed a vast amount of interest and research in feature representation learning from multiple disciplines, such as biology and bioinformatics. Among all the real-world application scenarios, feature extraction from knowledge graph (KG) for personalized recommendation has ac...

Descripción completa

Detalles Bibliográficos
Autores principales:	Geng, Yishuai, Xiao, Xiao, Sun, Xiaobing, Zhu, Yi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204654/ https://www.ncbi.nlm.nih.gov/pubmed/35719384 http://dx.doi.org/10.3389/fgene.2022.891265

Ejemplares similares

Single-cell RNA-seq data analysis using graph autoencoders and graph attention networks
por: Feng, Xiang, et al.
Publicado: (2022)

GADTI: Graph Autoencoder Approach for DTI Prediction From Heterogeneous Network
por: Liu, Zhixian, et al.
Publicado: (2021)

MGRL: Predicting Drug-Disease Associations Based on Multi-Graph Representation Learning
por: Zhao, Bo-Wei, et al.
Publicado: (2021)

Text-Graph Enhanced Knowledge Graph Representation Learning
por: Hu, Linmei, et al.
Publicado: (2021)

Deciphering tissue heterogeneity from spatially resolved transcriptomics by the autoencoder-assisted graph convolutional neural network
por: Li, Xinxing, et al.
Publicado: (2023)

HerbKG: Constructing a Herbal-Molecular Medicine Knowledge Graph Using a Two-Stage Framework Based on Deep Transfer Learning
por: Zhu, Xian, et al.
Publicado: (2022)

A representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associations
por: Shi, Zhuangwei, et al.
Publicado: (2021)

Drug-protein interaction prediction via variational autoencoders and attention mechanisms
por: Zhang, Yue, et al.
Publicado: (2022)

A lncRNA-disease association prediction tool development based on bridge heterogeneous information network via graph representation learning for family medicine and primary care
por: Zhang, Ping, et al.
Publicado: (2023)

Graph Autoencoder with Preserving Node Attribute Similarity
por: Lin, Mugang, et al.
Publicado: (2023)

Iterative heterogeneous graph learning for knowledge graph-based recommendation
por: Liu, Tieyuan, et al.
Publicado: (2023)

Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation
por: Kwon, Youngchun, et al.
Publicado: (2019)

Bioinformatic workflow fragment discovery leveraging the social-aware knowledge graph
por: Diao, Jin, et al.
Publicado: (2022)

Neuro-symbolic representation learning on biological knowledge graphs
por: Alshahrani, Mona, et al.
Publicado: (2017)

Multipath Cross Graph Convolution for Knowledge Representation Learning
por: Tian, Luogeng, et al.
Publicado: (2021)

Variational autoencoders learn transferrable representations of metabolomics data
por: Gomari, Daniel P., et al.
Publicado: (2022)

An integrated platform for Brucella with knowledge graph technology: From genomic analysis to epidemiological projection
por: Ma, Fubo, et al.
Publicado: (2022)

Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
por: Tsan, Steven, et al.
Publicado: (2021)

Multiview Consensus Graph Learning for lncRNA–Disease Association Prediction
por: Tan, Haojiang, et al.
Publicado: (2020)

Graph Representation Forecasting of Patient's Medical Conditions: Toward a Digital Twin
por: Barbiero, Pietro, et al.
Publicado: (2021)

Representation Learning Method with Semantic Propagation on Text-Augmented Knowledge Graphs
por: Wang, Ling, et al.
Publicado: (2022)

Embedding Learning with Triple Trustiness on Noisy Knowledge Graph
por: Zhao, Yu, et al.
Publicado: (2019)

Identifying Disease-Gene Associations With Graph-Regularized Manifold Learning
por: Luo, Ping, et al.
Publicado: (2019)

Graph representation learning
por: Hamilton, William L
Publicado: (2020)

Representation learning of resting state fMRI with variational autoencoder
por: Kim, Jung-Hoon, et al.
Publicado: (2021)

Attention Autoencoder for Generative Latent Representational Learning in Anomaly Detection
por: Oluwasanmi, Ariyo, et al.
Publicado: (2021)

Interpretable patent recommendation with knowledge graph and deep learning
por: Chen, Han, et al.
Publicado: (2023)

Discovering miRNAs Associated With Multiple Sclerosis Based on Network Representation Learning and Deep Learning Methods
por: Sun, Xiaoping, et al.
Publicado: (2022)

Semantic Representation of Robot Manipulation with Knowledge Graph
por: Miao, Runqing, et al.
Publicado: (2023)

Generating tertiary protein structures via interpretable graph variational autoencoders
por: Guo, Xiaojie, et al.
Publicado: (2021)

Knowledge Graphs for Indication Expansion: An Explainable Target-Disease Prediction Method
por: Gurbuz, Ozge, et al.
Publicado: (2022)

XA4C: eXplainable representation learning via Autoencoders revealing Critical genes
por: Li, Qing, et al.
Publicado: (2023)

Graph Embedding Deep Learning Guides Microbial Biomarkers' Identification
por: Zhu, Qiang, et al.
Publicado: (2019)

Cross-modal autoencoder framework learns holistic representations of cardiovascular state
por: Radhakrishnan, Adityanarayanan, et al.
Publicado: (2023)

Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning
Publicado: (2023)

Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks
por: Hu, Qiwan, et al.
Publicado: (2018)

Interpretable Feature Generation in ECG Using a Variational Autoencoder
por: Kuznetsov, V. V., et al.
Publicado: (2021)

Corrigendum: Graph Embedding Deep Learning Guides Microbial Biomarkers' Identification
por: Zhu, Qiang, et al.
Publicado: (2020)

GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder
por: Li, Lei, et al.
Publicado: (2021)

Non-Negative Symmetric Low-Rank Representation Graph Regularized Method for Cancer Clustering Based on Score Function
por: Lu, Conghai, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_vkvlhk3cdjfrlork50k3oe1cte