Genetic-GNN: Evolutionary architecture search for Graph Neural Networks
Authors:
- Min ShiMSMin Shi
- Yufei TangYTYufei Tang
- Xingquan ZhuXZXingquan Zhu
- Yu HuangYHYu Huang
- David WilsonDWDavid Wilson
- Yuan ZhuangYZYuan Zhuang
- Jianxun LiuJLJianxun Liu
- 11 April 2022
- journal article
- research article
- Published by Elsevier in Knowledge-Based Systems
- Vol. 247
Abstract
No abstract availableKeywords
Funding Information
- National Science Foundation (CMMI-2145571, IIS-1763452, OAC-2017597)
This publication has 17 references indexed in Scilit:
- Deep learning approach on information diffusion in heterogeneous networksKnowledge-Based Systems, 2020
- Reinforcement learning for neural architecture search: A reviewImage and Vision Computing, 2019
- Gated Residual Recurrent Graph Neural Networks for Traffic PredictionProceedings of the AAAI Conference on Artificial Intelligence, 2019
- Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation2019
- Network embedding in biomedical data scienceBriefings in Bioinformatics, 2018
- Large-Scale Learnable Graph Convolutional Networks2018
- A Survey on Network EmbeddingIEEE Transactions on Knowledge and Data Engineering, 2018
- Genetic CNN2017
- A genetic programming approach to designing convolutional neural network architectures2017
- Neural Network for Graphs: A Contextual Constructive ApproachIEEE Transactions on Neural Networks, 2009