Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …

Graph classification is a critical task in numerous multimedia applications, where graphs are
employed to represent diverse types of multimedia data, including images, videos, and …

A computational workflow, also known as workflow, consists of tasks that are executed in a
certain order to attain a specific computational campaign. Computational workflows are …

Active learning reduces the annotation cost of machine learning by selecting and querying
informative unlabeled samples. Semi-supervised active learning methods can considerably …

Graph classification, which is significant in various fields, often faces the challenge of label
scarcity. Under such a scenario, supervised methods based on graph neural networks do …