Results 71 to 80 of about 8,419,643 (305)

ALPINE : Active Link Prediction using Network Embedding [PDF]

open access: yes, 2020
Many real-world problems can be formalized as predicting links in a partially observed network. Examples include Facebook friendship suggestions, consumer-product recommendations, and the identification of hidden interactions between actors in a crime ...
Chen, Xi   +3 more
core   +1 more source

Zoo guide to network embedding

open access: yesJournal of Physics: Complexity, 2023
Abstract Networks have provided extremely successful models of data and complex systems. Yet, as combinatorial objects, networks do not have in general intrinsic coordinates and do not typically lie in an ambient space. The process of assigning an embedding space to a network has attracted great interest in the past few decades, and has ...
Baptista, A   +3 more
openaire   +4 more sources

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

open access: yesFEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa   +5 more
wiley   +1 more source

Virtual network embedding algorithm based on consultant guided search

open access: yes物联网学报, 2020
Considering at the problem of virtual network embedding,a virtual network embedding algorithm based on consultant guided search was proposed.The CPU of node,node degree and adjacent bandwidth were considered comprehensively,and the virtual network ...
Wentan LIU   +5 more
doaj   +2 more sources

Virtual Network Mapping Mechanism Based on k Shortest Path Algorithm Optimization and Load Balance [PDF]

open access: yesJisuanji gongcheng, 2018
As the existing nodes and links of local areas are overweight,the phenomenon of packet jitter and resource waste generates when packets transmits between nodes and adjacent links.A virtual network embedding algorithm is designed for load balancing of the
GAO Fei,CHEN Deli,HONG Jiajun,YU Zhi,TIAN Tian
doaj   +1 more source

pH‐mediated activation of the lysosomal arginine sensor SLC38A9

open access: yesFEBS Letters, EarlyView.
Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley   +1 more source

Learning Social Image Embedding with Deep Multimodal Attention Networks

open access: yes, 2017
Learning social media data embedding by deep models has attracted extensive research interest as well as boomed a lot of applications, such as link prediction, classification, and cross-modal search.
He, Yueying   +5 more
core   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

Attributed Network Embedding for Learning in a Dynamic Environment

open access: yes, 2018
Network embedding leverages the node proximity manifested to learn a low-dimensional node vector representation for each node in the network. The learned embeddings could advance various learning tasks such as node classification, network clustering, and
Chang, Yi   +5 more
core   +1 more source

Gaussian Embedding of Temporal Networks

open access: yesIEEE Access, 2023
Representing the nodes of continuous-time temporal graphs in a low-dimensional latent space has wide-ranging applications, from prediction to visualization. Yet, analyzing continuous-time relational data with timestamped interactions introduces unique challenges due to its sparsity.
Raphaël Romero   +4 more
openaire   +4 more sources

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