Few-shot node classification on attributed networks based on deep metric learning for Cyber-Physical-Social Services

Guangming Zhang, Yaliang Zhao, Jinke Wang

Abstract: Highlights•Extracting node representations by the simplifying graph convolutional network•A new approach to aggregating class prototypes by using a few samples of each class•First introduction of metric scaling parameters in graph few-shot node classification•Proving the effectiveness of the proposed method on three real-world datasets