Graph neural networks: A review of methods and applications

• Published in: AI open Vol. 1; pp. 57 - 81
• Main Authors: Zhou, Jie, Cui, Ganqu, Hu, Shengding, Zhang, Zhengyan, Yang, Cheng, Liu, Zhiyuan, Wang, Lifeng, Li, Changcheng, Sun, Maosong
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2020; KeAi Communications Co. Ltd
• Subjects: Deep learning; Graph neural network; Deep learning; Graph neural network

Lots of learning tasks require dealing with graph data which contains rich relation information among elements. Modeling physics systems, learning molecular fingerprints, predicting protein interface, and classifying diseases demand a model to learn from graph inputs. In other domains such as learni...