Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

In our algorithm, a DAG (Directed Acyclic Graph) is used to maintain the positional constraints, and an elastic model is employed to govern the placement of the treemap items. We demonstrate a treemap ...

Unlocking the full value of enterprise data starts with effective data visualization and seamless collaboration. Discover how the right tools empower teams to turn raw information into actionable ...

Master the art of impactful data visualization with these 10 tips to transform raw numbers into compelling visual stories. Data visuals that ...