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The lack of a large-scale public SGG benchmark is a major impediment to the advancement of SGG-related research in aerial imagery. In this article, we introduce the first publicly available ...

We investigated the performance of two common GNN architectures (GraphSAGE and GCN) trained on line and traditional graphs predicting task-associated FC changes across two datasets. The first dataset ...

Data visualization is an effective tool for converting complex datasets into clear and understandable visual formats. Data visualization is crucial in data analysis so that analysts, researchers, and ...

In many graph applications, the structure of the graph changes dynamically over time and may require real time analysis. However, constructing a large graph is expensive, and most studies for large ...

Learn ways to scale the use of large language models, the value of prompt engineering and how marketers can prepare for what's ahead.

In this paper, we propose an approach for template-based shape analysis of large datasets, using diffeomorphic centroids as atlas shapes. Diffeomorphic centroid methods fit in the Large Deformation ...