Results 41 to 50 of about 2,708,601 (295)
Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment [PDF]
Given a convex and differentiable objective $Q({\mathbf M})$Q(M) for a real symmetric matrix ${\mathbf M}$M in the positive definite (PD) cone—used to compute Mahalanobis distances—we propose a fast general metric learning framework that is entirely ...
Cheng Yang, Gene Cheung, Wei Hu
semanticscholar +1 more source
Open String Diagrams I: Topological Type [PDF]
An arbitrary Feynman graph for string field theory interactions is analysed and the homeomorphism type of the corresponding world sheet surface is completely determined even in the non-orientable cases.
Nag, Subhashis, Sankaran, Parameswaran
core +2 more sources
This paper presents an algorithm to compute the integrity of a signed fuzzy graph by systematically evaluating vertex subsets, removing them, and analyzing the resulting connected components.
Chakaravarthy Sankar +3 more
doaj +1 more source
This article addresses the hostile-based bipartite containment control of nonlinear fractional multi-agent systems (FMASs) with input delays. Several fundamental algebraic criteria have been offered by the use of signed graph theory.
Asad Khan +3 more
semanticscholar +1 more source
On balanced cycle domination of graphs
Let [Formula: see text] be a graph. A function [Formula: see text] is said to be a balanced cycle dominating function (BCDF) of [Formula: see text] if [Formula: see text] holds for any induced cycle [Formula: see text] of [Formula: see text] The balanced
Baogen Xu +3 more
doaj +1 more source
The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity
The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley +1 more source
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Spectrum-based deep neural networks for fraud detection
In this paper, we focus on fraud detection on a signed graph with only a small set of labeled training data. We propose a novel framework that combines deep neural networks and spectral graph analysis. In particular, we use the node projection (called as
Li, Jun +3 more
core +1 more source
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath +13 more
wiley +1 more source
On the signed Italian domination of graphs [PDF]
A signed Italian dominating function on a graph $G=(V,E)$ is a function $f:V\to \{ -1, 1, 2 \}$ satisfying the condition that for every vertex $u$, $f[u]\ge 1$. The weight of signed Italian dominating function is the value $f(V)=\sum_{u\in V}f(u)$.
Ashraf Karamzadeh +2 more
doaj

