Graph data, essential in fields like knowledge representation and social networks, often involves large networks with many nodes and edges. Transmitting these graphs can be highly inefficient due to ...

Transforming your impact data into sharp, strategic charts is easier than you might think. These simple visualization ...

Open Excel, and you will see a new tab in the ribbon at the top that says PyXLL.

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 ...