A surrogate evolutionary neural architecture search algorithm for graph neural networks

Yang Liu; Jing Liu

doi:10.1016/j.asoc.2023.110485

ScienceGate Book Chapters

JOURNAL ARTICLE

A surrogate evolutionary neural architecture search algorithm for graph neural networks

Yang Liu Jing Liu

Year: 2023 Journal: Applied Soft Computing Vol: 144 Pages: 110485-110485 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2023.110485

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Artificial neural network Evolutionary algorithm Crossover Artificial intelligence Feature vector Network topology Search algorithm Algorithm Theoretical computer science

Metrics

Cited By

1.53

FWCI (Field Weighted Citation Impact)

Refs

0.82

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

A surrogate evolutionary neural architecture search algorithm for graph neural networks

Metrics

Citation History

Topics

Related Documents

Graph Neural Network-Based Surrogate Model for Evolutionary Neural Architecture Search

Surrogate-Assisted Evolutionary Neural Architecture Search

EGNAS: Efficient Graph Neural Architecture Search Through Evolutionary Algorithm

Genetic-GNN: Evolutionary architecture search for Graph Neural Networks

Neural Architecture Search in Graph Neural Networks