IEEE

Explanations for Graph Neural Networks using A Game-theoretic Value

Abstract: Graph Neural Networks (GNNs) have achieved remarkable performance on various learning tasks on geometric data. However, the incorporation of graph structures into the learning of node ...
IEEE

Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions

Abstract: Most existing graph neural networks (GNNs) learn node embeddings using the framework of message passing and aggregation. Such GNNs are incapable of learning relative positions between graph ...
Frontiers

Social cognition and interactive training for first-episode, drug-naïve MDD patients

Objective: This study aimed to explore the impacts of social cognition and interaction training (SCIT) on serum brain-derived neurotrophic factor (BDNF), glial cell line-derived neurotrophic factor ...