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 ...

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 ...

Evolutionary dynamics act on populations. Neither genes, nor cells, nor individuals evolve; only populations evolve. In small populations, random drift dominates, whereas large populations are ...