Heuristic optimization in classification atoms in molecules using GCN via uniform simulated annealing

Heuristic optimization in classification atoms in molecules using GCN via uniform simulated annealing

Abstract Graph neural networks are becoming increasingly popular in deep learning due to their ability to process data in irregular structures and graphs thus preserving additional spatial dependencies due to the arrangement of nodes. This network allows for better accuracy results in classification...

Full description

Saved in:
Bibliographic Details
Main Authors: Agnieszka Polowczyk, Alicja Polowczyk, Marcin Woźniak
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Graph convolutional network
Simulated annealing
Metaheuristic optimization
Uniform distribution
Node classification
Online Access:https://doi.org/10.1038/s41598-025-00340-8
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-00340-8

Similar Items