Genetic-GNN: Evolutionary architecture search for Graph Neural Networks

Min Shi; Yufei Tang; Xingquan Zhu; Yu Huang; David Wilson; Yuan Zhuang; Jianxun Liu

doi:10.1016/j.knosys.2022.108752

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Genetic-GNN: Evolutionary architecture search for Graph Neural Networks

Min Shi Yufei Tang Xingquan Zhu Yu Huang David Wilson Yuan Zhuang Jianxun Liu

Year: 2022 Journal: Knowledge-Based Systems Vol: 247 Pages: 108752-108752 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2022.108752

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Keywords:

Computer science Hyperparameter Artificial intelligence Machine learning Dropout (neural networks) Graph Artificial neural network Hyperparameter optimization Reinforcement learning Theoretical computer science

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Topics

Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Evolutionary Algorithms and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Genetic-GNN: Evolutionary architecture search for Graph Neural Networks

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