Explore classroom strategies that help learners avoid common graphing mistakes and present data with confidence ...

Graphs are pictorial representations of numbers. Therefore, at the least, we should expect that the representation of the numbers be proportional to the numbers themselves. Unfortunately, this is not ...

Of the many NoSQL data management capabilities, the graph database offers special appeal to individuals who want to bridge the gaps between inherently connected information and apply graph analytics ...

Describing exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms, this book demonstrates and investigates these novel techniques through ...

Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a ...