Graph classification algorithm based on graph structure embedding

T Ma, Q Pan, H Wang, W Shao, Y Tian… - Expert Systems with …, 2020 - Elsevier
With the application of data mining in many fields such as information science,
bioinformatics, and network intrusion detection, more and more data are showing new …

Representing graphs as bag of vertices and partitions for graph classification

M Bhuiyan, M Al Hasan - Data Science and Engineering, 2018 - Springer
Graph classification is a difficult task because finding a good feature representation for
graphs is challenging. Existing methods use topological metrics or local subgraphs as …

[PDF][PDF] Features Selection for Supervised Learning Using Centrality Measures

S Saleem, M Ahmed, L Shah, AI Jehangiri… - REVISTA GEINTEC …, 2021 - researchgate.net
The data mining methods have been extensively used in the process of decision making.
The popularity of data mining methods is due to availability of high speed algorithms …

Clasificación de imágenes basada en subconjuntos de subgrafos frecuentes aproximados

NA MENDOZA - 2013 - inaoe.repositorioinstitucional.mx
In recent years, there has been a significant increase in the use of frequent approximate
subgraph mining. This kind of mining has become an important research line and is …