Abstract: Graph Neural Networks (GNNs) have demonstrated remarkable performance across various domains. Sample-based training, a practical strategy for training on large-scale graphs, often faces time ...

Abstract: A community-imbalanced graph refers to a graph containing multiple communities with large differences in node and edge scales. Graph sampling is a widely used graph reduction technique to ...

Objective: Recent reviews indicated that the psychosis spectrum co-occurs with disorders on the eating disorder (ED) spectrum, which might elucidate the low recovery rates. Consequently, the ED field ...