Multiscale Superpixel-Guided Weighted Graph Convolutional Network for Polarimetric SAR Image Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3355290
Abstract: Polarimetric synthetic aperture radar (PolSAR) has attracted more attentions because of its excellent observation ability, and PolSAR image classification has become one of the significant tasks in remote sensing interpretation. Various types and sizes of… read more here.
Keywords: classification; weighted graph; graph convolutional; convolutional network ... See more keywords
DiffSeer: Difference-Based Dynamic Weighted Graph Visualization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Computer Graphics and Applications"
DOI: 10.1109/mcg.2023.3248289
Abstract: Existing dynamic weighted graph visualization approaches rely on users’ mental comparison to perceive temporal evolution of dynamic weighted graphs, hindering users from effectively analyzing changes across multiple timeslices. We propose DiffSeer, a novel approach for… read more here.
Keywords: dynamic weighted; diffseer; graph; weighted graph ... See more keywords
A Nonlinear Weighted Graph Convolution Network Based on Manifold Geometric Regularization for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3584561
Abstract: Extracting spatial–spectral joint features has become a critical approach for improving model classification performance in the field of hyperspectral image classification (HSIC). However, existing methods fail to fully exploit nonlinear spatial–spectral information. Unlike traditional convolutional… read more here.
Keywords: classification; weighted graph; information; graph convolution ... See more keywords
Differentially Private Weighted Graphs Publication Under Continuous Monitoring
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2024.3514153
Abstract: Graph data analysis has been used in various real-world applications to improve services or scientific research, which, however, may expose sensitive personal information. Differential privacy (DP) has become the gold standard for publishing graph data… read more here.
Keywords: weighted graph; weighted graphs; differentially private; graph data ... See more keywords
Intruder capture algorithms considering visible intruders
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Advanced Robotic Systems"
DOI: 10.1177/1729881419846739
Abstract: In this article, we consider the problem of using multiple robots (searchers) to capture intruders in an environment. Assume that a robot can access the position of an intruder in real time, that is, an… read more here.
Keywords: weighted graph; algorithms; number robots; environment ... See more keywords
Overlapping communities detection through weighted graph community games
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0283857
Abstract: We propose a new model to detect the overlapping communities of a network that is based on cooperative games and mathematical programming. More specifically, communities are defined as stable coalitions of a weighted graph community… read more here.
Keywords: communities detection; graph community; weighted graph; detection weighted ... See more keywords
TER-CA-WGNN: Trimodel Emotion Recognition Using Cumulative Attribute-Weighted Graph Neural Network
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14062252
Abstract: Affective computing is a multidisciplinary field encompassing artificial intelligence, natural language processing, linguistics, computer science, and social sciences. This field aims to deepen our comprehension and capabilities by deploying inventive algorithms. This article presents a… read more here.
Keywords: weighted graph; recognition; graph neural; attribute weighted ... See more keywords
Ekeland Variational Principle and Some of Its Equivalents on a Weighted Graph, Completeness and the OSC Property
Sign Up to like & getrecommendations! Published in 2023 at "Axioms"
DOI: 10.3390/axioms12030247
Abstract: We prove a version of the Ekeland Variational Principle (EkVP) in a weighted graph G and its equivalence to Caristi fixed point theorem and to the Takahashi minimization principle. The usual completeness and topological notions… read more here.
Keywords: completeness; ekeland variational; osc property; principle ... See more keywords
A Generalization of the Importance of Vertices for an Undirected Weighted Graph
Sign Up to like & getrecommendations! Published in 2021 at "Symmetry"
DOI: 10.3390/sym13050902
Abstract: Establishing a node importance ranking is a problem that has attracted the attention of many researchers in recent decades. For unweighted networks where the edges do not have any attached weight, many proposals have been… read more here.
Keywords: weighted graph; undirected weighted; importance; generalization importance ... See more keywords