Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks
Sign Up to like & getrecommendations! Published in 2018 at "Data Mining and Knowledge Discovery"
DOI: 10.1007/s10618-018-0581-y
Abstract: Heterogeneous information network (HIN) is a general representation of many different applications, such as social networks, scholar networks, and knowledge networks. A key development of HIN is called PathSim based on meta-path, which measures the… read more here.
Keywords: unsupervised meta; similarity; path selection; meta path ... See more keywords
A heterogeneous network-based method with attentive meta-path extraction for predicting drug-target interactions
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac184
Abstract: Predicting drug-target interactions (DTIs) is crucial at many phases of drug discovery and repositioning. Many computational methods based on heterogeneous networks (HNs) have proved their potential to predict DTIs by capturing extensive biological knowledge and… read more here.
Keywords: path; meta paths; predicting drug; meta path ... See more keywords
Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac361
Abstract: MOTIVATION Long noncoding RNAs (lncRNAs) play an important role in the occurrence and development of diseases. Predicting disease-related lncRNAs can help to understand the pathogenesis of diseases deeply. The existing methods mainly rely on multi-source… read more here.
Keywords: information; semantics; disease; related lncrnas ... See more keywords
Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad041
Abstract: Drug-drug interactions (DDIs) are compound effects when patients take two or more drugs at the same time, which may weaken the efficacy of drugs or cause unexpected side effects. Thus, accurately predicting DDIs is of… read more here.
Keywords: information; interpretability; semantics; meta path ... See more keywords
Meta-Path-Based Weapon-Target Recommendation in Heterogeneous Combat Network
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DOI: 10.1109/jsyst.2018.2890090
Abstract: The information period has significantly changed in the use of warfare patterns, and modern operations require rapid operational planning and decision making under different combat conditions. Weapon-target recommendation is essential for the automation of military… read more here.
Keywords: target recommendation; target; weapon target; meta path ... See more keywords
Meta-Path Methods for Prioritizing Candidate Disease miRNAs
Sign Up to like & getrecommendations! Published in 2019 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2017.2776280
Abstract: MicroRNAs (miRNAs) play critical roles in regulating gene expression at post-transcriptional levels. Numerous experimental studies indicate that alterations and dysregulations in miRNAs are associated with important complex diseases, especially cancers. Predicting potential miRNA—disease association is… read more here.
Keywords: mirna disease; disease; meta path; path methods ... See more keywords
Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2022.3209571
Abstract: Since abnormal expression of long non-coding RNAs (lncRNAs) is associated with various human diseases, identifying disease-related lncRNAs helps reveal the pathogenesis of diseases. Existing methods for lncRNA-disease association prediction mainly focus on multi-sourced data related… read more here.
Keywords: topology; semantics; disease; lncrna disease ... See more keywords
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2993870
Abstract: Heterogeneous information network (HIN) embedding aims at learning the low-dimensional representation of nodes while preserving structure and semantics in a HIN. Existing methods mainly focus on static networks, while a real HIN usually evolves over… read more here.
Keywords: information network; semantics; path; meta path ... See more keywords
Effective Similarity Search on Heterogeneous Networks: A Meta-Path Free Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3019488
Abstract: Heterogeneous information networks (HINs) are usually used to model information systems with multi-type objects and relations. In contrast, graphs that have a single type of nodes and edges, are often called homogeneous graphs. Measuring similarities… read more here.
Keywords: similarity search; similarity; search heterogeneous; path free ... See more keywords
Meta-Path Based Neighbors for Behavioral Target Generalization in Sequential Recommendation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3149328
Abstract: Click-through rate (CTR) prediction is a crucial task in recommender systems, which aims to model users’ dynamic preferences from their historical behaviors. To achieve this goal, most of the previous models adopt sequential neural networks… read more here.
Keywords: neighbors behavioral; behavioral target; path; based neighbors ... See more keywords