Results 1 to 10 of about 2,708,601 (295)

WSGMB: weight signed graph neural network for microbial biomarker identification [PDF]

open access: yesBrief Bioinform, 2023
The stability of the gut microenvironment is inextricably linked to human health, with the onset of many diseases accompanied by dysbiosis of the gut microbiota.
Shuheng Pan, Xinyi Jiang, Kai Zhang
semanticscholar   +2 more sources

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model [PDF]

open access: yesIEEE Trans Neural Netw Learn Syst, 2022
Recently, brain networks have been widely adopted to study brain dynamics, brain development, and brain diseases. Graph representation learning techniques on brain functional networks can facilitate the discovery of novel biomarkers for clinical ...
Haoteng Tang   +5 more
semanticscholar   +2 more sources

Algorithmic approach to find S-consistency in Common-Edge signed graph [PDF]

open access: yesMethodsX, 2022
Common-Edge signed graph CE(S) of a signed graph S is a signed graph whose vertex-set is the pairs of adjacent edges in S and two vertices are adjacent if the corresponding pairs of adjacent edges of S have exactly one edge in common, with the sign same ...
Anshu Sethi   +2 more
doaj   +2 more sources

Enhanced Signed Graph Neural Network with Node Polarity [PDF]

open access: yesEntropy, 2022
Signed graph neural networks learn low-dimensional representations for nodes in signed networks with positive and negative links, which helps with many downstream tasks like link prediction.
Jiawang Chen   +3 more
doaj   +2 more sources

Further Results on the Nullity of Signed Graphs [PDF]

open access: yesJournal of Applied Mathematics, 2014
The nullity of a graph is the multiplicity of the eigenvalue zero in its spectrum. A signed graph is a graph with a sign attached to each of its edges. In this paper, we apply the coefficient theorem on the characteristic polynomial of a signed graph and
Yu Liu, Lihua You
doaj   +5 more sources

On derived t-path, t=2,3 signed graph and t-distance signed graph [PDF]

open access: yesMethodsX
A signed graph Σ is a pair Σ=(Σu,σ)that consists of a graph (Σu,E) and a sign mapping called signature σ from E to the sign group {+,−}. In this paper, we discuss the t-path product signed graph (Σ)^twhere vertex set of (Σ)^t is the same as that of Σ and
Deepa Sinha, Sachin Somra
doaj   +2 more sources

Graph-based prediction of Protein-protein interactions with attributed signed graph embedding [PDF]

open access: yesBMC Bioinformatics, 2020
Protein-protein interactions (PPIs) are central to many biological processes. Considering that the experimental methods for identifying PPIs are time-consuming and expensive, it is important to develop automated computational methods to better predict ...
Fang Yang   +3 more
semanticscholar   +2 more sources

An algorithmic characterization and spectral analysis of canonical splitting signed graph ξ(Σ) [PDF]

open access: yesMethodsX
An ordered pair Σ=(Σu,σ) is called the signed graph, where Σu=(V,E) is an underlying graph and σ is a signed mapping, called signature, from E to the sign set {+,−}. A marking of Σ is a function μ:V(Σ)→{+,−}.
Deepa Sinha, Sandeep Kumar
doaj   +2 more sources

Learning Embedding for Signed Network in Social Media with Hierarchical Graph Pooling [PDF]

open access: goldApplied Sciences, 2022
Signed network embedding concentrates on learning fixed-length representations for nodes in signed networks with positive and negative links, which contributes to many downstream tasks in social media, such as link prediction.
Jiawang Chen, Zhenqiang Wu
doaj   +2 more sources

Characterization of Line-Consistent Signed Graphs

open access: yesDiscussiones Mathematicae Graph Theory, 2015
The line graph of a graph with signed edges carries vertex signs. A vertex-signed graph is consistent if every circle (cycle, circuit) has positive vertex-sign product. Acharya, Acharya, and Sinha recently characterized line-consistent signed graphs, i.e.
Slilaty Daniel C., Zaslavsky Thomas
doaj   +3 more sources

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