The model is composed by three main components: the generative model (VRNN) and two graph neural networks. The first graph network operates on agents' goals, expressed as specific areas of the ...

Abstract: Identifying key information from complex networks is of great practical significance for discovering the community structure. How to effectively use the information of node connections in ...

Abstract: This paper introduces a novel dynamic graph learning approach for frequency graphs, underpinned by a suite of baseline methodologies and the Multi-scale Controllable Graph Convolutional ...

Learn how to enable drill-down functionality in a Syncfusion WinForms Chart. This guide explains how to navigate from high-level data to detailed views using interactive chart segments and dynamic ...