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Fine-tuned large language models with structured prompts enable efficient construction of lung cancer knowledge graphs. [PDF]

Sci Rep
Zhou C, Gong Q, Luan H, Zhan W, Zhu J, Zhang Q.   +5 more
europepmc   +1 more source

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Graph regularization centrality

Physica A: Statistical Mechanics and its Applications, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alcebiades Dal Col, Fabiano Petronetto
openaire   +1 more source

Vertex betweenness centrality of corona graphs and unicyclic graphs

2023
Summary: The idea of centrality measurements is quite appropriate for determining the important vertices or edges in a network. A vertex in a network may be an important vertex depending on its angle of assumption. There are many centrality measurements to find the characteristics of a vertex in a network. Betweenness centrality is an important variant
Barman, Sambhu Charan, Mondal, Sukumar, Nandi, Shaoli   +2 more
openaire   +1 more source

A Novel Local–Global Graph Convolutional Method for Point Cloud Semantic Segmentation

IEEE Transactions on Neural Networks and Learning Systems, 2022
Although convolutional neural networks (CNNs) have shown good performance on grid data, they are limited in the semantic segmentation of irregular point clouds.
Zijin Du, Hailiang Ye, F. Cao
semanticscholar   +1 more source