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Generating Graphs With Specified Properties And Their Use For Constructing Scene Graphs From Images, and network modeling. This article
provides three graph generation models and also proposes the
idea
Genetic algorithm of network graph multi-objective optimization as an instrument of project monitoring of multi-objective optimization in project management with reference to network graphs. The significant
On the graph model and the equivalence of banyan networks of construction of their graph models and isomorphism between the networks. The original determinations allowing
Genetic algorithm of network graph multi-objective optimization as an instrument of project monitoring of multi-objective optimization in project management with reference to network graphs. The significant
Graph Neural Networks for Communication Networks: A Survey networks, the most advanced
deep learning method, Graph Neural Network (GNN), has been
applied
ON THE GRAPH MODEL AND EQUIVALENCE OF BANYAN NETWORKS properly define the graph of a multistage interconnection network are given; an algorithm for testing
Graph theory for modeling and analysis of the human lymphatic system the lymphatic vessels. We present a graph theory-based approach to model and analyze the human lymphatic network
Utilizing correlation in space and time: Anomaly detection for Industrial Internet of Things (IIoT) via spatiotemporal gated graph attention network with great potential. However, traditional graph neural networks, such as Graph Convolutional Networks (GCNs
К разработке модели эволюции структуры сетевого графаIn this paper the investigation of the structure of network graph is presented. The social network
Routing Congestion Prediction in VLSI Design Using Graph Neural Networks layout design of digital blocks by applying graph neural network model. Early prediction of congestion
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