Results 111 to 120 of about 574,210 (309)

Representation learning of dynamic networks

open access: yesCoRR
This study presents a novel representation learning model tailored for dynamic networks, which describes the continuously evolving relationships among individuals within a population. The problem is encapsulated in the dimension reduction topic of functional data analysis.
Haixu Wang, Jiguo Cao, Jian Pei 0001
openaire   +2 more sources

Ubiquitination of secretory granules promotes their crinophagic degradation in Drosophila

open access: yesFEBS Letters, EarlyView.
Ubiquitination of secretory granules in Drosophila larval salivary glands is a critical molecular trigger for crinophagy, the lysosomal degradation of unreleased, or low‐quality granules. The E3 ubiquitin ligase Cnot4 is recruited to the surface of secretory granules to induce crinophagy.
Tamás Csizmadia   +6 more
wiley   +1 more source

Gated graph convolutional network with enhanced representation and joint attention for distant supervised heterogeneous relation extraction

open access: yes, 2021
Distant supervised relation extraction which is to extract heterogeneous relations from text data without manual annotation has been widely used in decision-making tasks such as question answering or recommendation system.
Li, Xuewei   +5 more
core   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

open access: yesFEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

Binary Relation Database BIRD: Issues of Representation and Implementation [PDF]

open access: yes, 1989
This thesis presents a study of two issues, integrity and homogeneity of information representation, within the area of databases. Treatments of these issues were studied within the standard and semantic database models, leading to the proposal of a new ...
Piercy, Richard Michael
core  

Network Representation and Complex Systems [PDF]

open access: yes, 2015
In this article, network science is discussed from a methodological per- spective, and two central theses are defended. The first is that network science exploits the very properties that make a system complex.
Charles, Rathkopf
core   +1 more source

PARK(ing) time–How park deficiency affects the biological clock in a Drosophila model of Parkinson's disease

open access: yesFEBS Letters, EarlyView.
Drosophila park mutants serve as a model for Parkinson's disease. We used this strain to investigate the connection between oxidative stress and the circadian clock mechanism. We showed that increased oxidative stress affects the physiology of pacemaker cells, disrupting their daily structural plasticity. Lack of rhythmic signaling from pacemaker cells
Kamila Zientara   +3 more
wiley   +1 more source

Representation learning of in-degree-based digraph with rich information

open access: yesComplex & Intelligent Systems
Network representation learning aims to map the relationship between network nodes and context nodes to a low-dimensional representation vector space. Directed network representation learning considers mapping directional of node vector.
Yan Sun   +4 more
doaj   +1 more source

Architectural space as a network: thinking and modeling

open access: yesАрхитектон
Trends in spatial representation in architecture are considered in the context of network thinking developments. The role of the network approach to the representation and modeling of architectural space is shown.
Iovlev Valery I.
doaj   +1 more source

A Graph Representation of Filter Networks [PDF]

open access: yes, 2005
Filter networks, i.e. decomposition of a filter set into a layered structure of sparse subfilters has been proven successful for e.g. efficient convolution using finite impulse response filters. The efficiency is due to the significantly reduced number of multiplications and additions per data sample that is required.
Björn Svensson   +2 more
openaire   +1 more source

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