Results 71 to 80 of about 915,611 (273)
Collaborative Recommendation Based on Graph Neural Network Clustering Subgraphs Using Dual Graph Attention Network [PDF]
Jisuanji gongchengA recommendation system based on Graph Neural Network (GNN) can extract high-order connectivity between users and items. Collaborative Filtering (CF) is a classic recommendation algorithm that suffers from over-smoothing issues during the stacking of ...
XUE Yang, QIN Yao, ZHANG Shuxiang
doaj +1 more source
An isoform of 14‐3‐3 protein regulates transbilayer lipid movement at the plasma membrane
FEBS Letters, EarlyView.Loss of 14‐3‐3ζ in CHO cells confers resistance to exogenous phosphatidylserine (PS) and impairs endocytosis‐independent inward flip‐flop of fluorescent PS at the plasma membrane. RNAi‐mediated knockdown reproduces this defect, while no additive effect is seen in ATP11C‐deficient cells.
Akiko Yamaji‐Hasegawa +3 more
wiley +1 more source
Epistemic Network Analyses of Economics Students’ Graph Understanding: An Eye-Tracking Study
Sensors, 2020 Learning to solve graph tasks is one of the key prerequisites of acquiring domain-specific knowledge in most study domains. Analyses of graph understanding often use eye-tracking and focus on analyzing how much time students spend gazing at particular ...
Sebastian Brückner +3 more
doaj +1 more source
NEFI: Network Extraction From Images
, 2015 Networks and network-like structures are amongst the central building blocks of many technological and biological systems. Given a mathematical graph representation of a network, methods from graph theory enable a precise investigation of its properties.
Dirnberger, Michael +2 more
core +1 more source
Distance matrices for conjugate skew gain graphs
Discrete Mathematics, Algorithms and ApplicationsA conjugate skew gain graph is a skew gain graph with the labels (also called, the conjugate skew gains) from the field of complex numbers on the oriented edges such that they get conjugated when we reverse the orientation. In this paper, we introduce distance matrices for conjugate skew gain graphs and characterize balanced conjugate skew gain graphs
K. Shahul Hameed +2 more
openaire +3 more sources
On the Characteristic Polynomial of Skew Gain Graphs
, 2020 Gain graphs are graphs where the edges are given some orientation and labeled with the elements (called gains) from a group so that gains are inverted when we reverse the direction of the edges. Generalizing the notion of gain graphs, skew gain graphs have the property that the gain of a reversed edge is the image of edge gain under an anti-involution.
Hameed, K. S. +3 more
openaire +3 more sources
pH‐mediated activation of the lysosomal arginine sensor SLC38A9
FEBS 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
Integrating Knowledge Graphs into Distribution Grid Decision Support Systems
Future Internet, 2023 Distribution grids are complex networks containing multiple pieces of equipment. These components are interconnected, and each of them is described by various attributes.
Yashar Kor +3 more
doaj +1 more source
Submodularity in Batch Active Learning and Survey Problems on Gaussian Random Fields [PDF]
, 2012 Many real-world datasets can be represented in the form of a graph whose edge weights designate similarities between instances. A discrete Gaussian random field (GRF) model is a finite-dimensional Gaussian process (GP) whose prior covariance is the ...
Garnett, Roman +2 more
core
HARP: Hierarchical Representation Learning for Networks
, 2017 We present HARP, a novel method for learning low dimensional embeddings of a graph's nodes which preserves higher-order structural features. Our proposed method achieves this by compressing the input graph prior to embedding it, effectively avoiding ...
Chen, Haochen +3 more
core +1 more source