Results 91 to 100 of about 3,270,134 (279)
hexie1995/Sequential-Link-Prediction: Release of code with DOI
<p>This code base and datasets are supplementary information for "Sequential Stacking Link Prediction Algorithms for Temporal Networks" accepted at Nature Communications by He, Xie, et al.</p ...
hexie1995
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Physical layer DVB-SH performance prediction based on mutual information [PDF]
, 2012 Digital Video Broadcasting-Satellite Handled (DVB-SH) is a hybrid satellite terrestrial broadcasting standard dedicated to provide video or audio services for handheld terminals.
Chauvet, Wilfried +9 more
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Improved Link Prediction Using PCA
International Journal of Analysis and Applications, 2019 Link Prediction is known as a challenging problem in the area of online social media. Earlier, learning model for link prediction task has been proposed by many researchers. But the classification of imbalanced and high dimensional data is an interesting
. Ankita, Nanhay Singh
doaj +2 more sources
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Nonparametric Estimation of the Link Function Including Variable Selection [PDF]
, 2010 Nonparametric methods for the estimation of the link function in generalized linear models are able to avoid bias in the regression parameters. But for the estimation of the link typically the full model, which includes all predictors, has been used ...
Petry, Sebastian, Tutz, Gerhard
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Link prediction in multiplex networks
Networks and Heterogeneous Media, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Manisha Pujari, Rushed Kanawati
openaire +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Fuzzy and neutrosophic modeling for link prediction in social networks
, 2019 Some new similarity measures for link prediction based on fuzzy and neutrosophic environments are proposed. It aims to determine possible association between two objects in a social network represented by a graph including nodes and edges.
Ngan, Tran Thi +5 more
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Parameter Averaging in Link Prediction
Proceedings of the Knowledge Capture Conference 2025Ensemble methods are widely employed to improve generalization in machine learning. This has also prompted the adoption of ensemble learning for the knowledge graph embedding (KGE) models in performing link prediction. Typical approaches to this end train multiple models as part of the ensemble, and the diverse predictions are then averaged.
Rupesh Sapkota +3 more
openaire +2 more sources
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
FEBS Letters, EarlyView.The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source