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 ...

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 ...