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 ...

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 ...

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 ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...