Geography-Aware Inductive Matrix Completion for Personalized Point-of-Interest Recommendation in Smart Cities
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2950418
Abstract: With the development of Internet of Things technology, the will to make cities smarter is growing. In the context of smart cities, where people are surrounded by a tremendous number of points of interests (POIs),… read more here.
Keywords: matrix completion; recommendation; inductive matrix; geography ... See more keywords
Heterogeneous Network-Based Inductive Matrix Methods for Predicting Biomedical Gene Disease
Sign Up to like & getrecommendations! Published in 2023 at "BioMed Research International"
DOI: 10.1155/2023/7121514
Abstract: Prediction of gene-disease associations has grown in popularity in recent biomedical research. However, positive and unlabeled (PU) issues and limited gene-disease association data are common concerns with present association prediction algorithms. A gene-disease association prediction… read more here.
Keywords: gene disease; prediction; inductive matrix; gene ... See more keywords
Identifying lncRNA–disease association based on GAT multiple-operator aggregation and inductive matrix completion
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.1029300
Abstract: Computable models as a fundamental candidate for traditional biological experiments have been applied in inferring lncRNA–disease association (LDA) for many years, without time-consuming and laborious limitations. However, sparsity inherently existing in known heterogeneous bio-data is… read more here.
Keywords: inductive matrix; disease association; association; lncrna disease ... See more keywords
Predicting miRNA-Disease Association Based on Neural Inductive Matrix Completion with Graph Autoencoders and Self-Attention Mechanism
Sign Up to like & getrecommendations! Published in 2022 at "Biomolecules"
DOI: 10.3390/biom12010064
Abstract: Many studies have clarified that microRNAs (miRNAs) are associated with many human diseases. Therefore, it is essential to predict potential miRNA-disease associations for disease pathogenesis and treatment. Numerous machine learning and deep learning approaches have… read more here.
Keywords: inductive matrix; matrix completion; mirna disease;
From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e25020333
Abstract: In this paper, we study the problem of bilinear regression, a type of statistical modeling that deals with multiple variables and multiple responses. One of the main difficulties that arise in this problem is the… read more here.
Keywords: problem; matrix; matrix completion; inductive matrix ... See more keywords