This research project has been published in the Frontiers in Neuroanatomy journal and includes a software tool to generate graphical representations of neurons from 3D computer-aided ...

With the rapid emergence of graph representation learning, the construction of new large-scale datasets are necessary to distinguish model capabilities and accurately assess the strengths and ...

Marine transportation constitutes a vital segment of international trade logistics. Recognizing marine carrier ship types is essential for the governance and efficiency of the marine transportation ...

Also in this paper, we examine the graphical encoding of causal relationships. We show that influence diagrams in canonical form are an accurate and efficient representation of causal relationships.

In today’s Data Storytelling Visualization journey, we learn to avoid making the same mistakes as the past; not every graph/chart needs to highlight groundbreaking insights, and we must deal with the ...

This research illustrates that GIN-based graph representation learning can efficiently capture trajectory features, offering a valuable reference for motion trajectory representation extraction and ...