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...
Saved in:
| Main Authors: | Agnieszka Polowczyk, Alicja Polowczyk, Marcin Woźniak |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-00340-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Parametric optimization technique for continuous and combinational problems based on simulated annealing algorithm
by: Yosua Heru Irawan, et al.
Published: (2023-12-01) -
Effect of Annealing Time of GaN Buffer Layer on Curvature and Wavelength Uniformity of Epitaxial Wafer
by: Huanyou Wang, et al.
Published: (2025-05-01) -
Time Window Characteristics in a Heuristic Algorithm for a Full-Truck Vehicle Routing Heuristic Algorithm in An Intermodal Context
by: Wisute Ongcunaruk, et al.
Published: (2025-06-01) -
An Efficient Simulated Annealing Algorithm for the Vehicle Routing Problem in Omnichannel Distribution
by: Vincent F. Yu, et al.
Published: (2024-11-01) -
Temperature uniformity measurement and temperature field simulation analysis of bell-type furnace for high-temperature annealing process of grain-oriented silicon steel
by: Xiaoqian Peng, et al.
Published: (2025-06-01)