Machine Learning Methods with Node-Level Features

Author(s)	Koffka Khan
Country	Trinidad and Tobago
Abstract	In this paper we describe several methods for obtaining node features. They can also be grouped based on structure-based features, which again, do not require degrees, such as the simplest one, and which count edges, clusters, and triangles, as well as significance features like node degree and various centrality measures. A generalization that counts additional structures in which a particular node of interest participates is the Graphlet Degree Vector (GDV).
Keywords	node, features, edges, clusters, centrality, measures
Field	Engineering
Published In	Volume 4, Issue 6, November-December 2022
Published On	2022-12-31
Cite This	Machine Learning Methods with Node-Level Features - Koffka Khan - IJFMR Volume 4, Issue 6, November-December 2022. DOI 10.36948/ijfmr.2022.v04i06.1301
DOI	https://doi.org/10.36948/ijfmr.2022.v04i06.1301
Short DOI	https://doi.org/grk5dz

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International Journal For Multidisciplinary Research