Abstract: Community-based graph clustering is one of the most popular topics in the analysis of complex social networks. This paper studies a specific form of graph clustering problems that can be ...

Abstract: Linearized Graph Neural Networks (GNNs) have attracted great attention in recent years for graph representation learning. Compared with nonlinear Graph Neural Network (GNN) models, ...

This useful study supplements previous publications of willed attention by addressing a frontoparietal network that supports internal goal generation. The evidence is solid in analyzing two datasets ...