This book offers a refreshing approach to complex concepts by blending humor, imaginative examples, and practical Python implementations to reveal the power and versatility of graph based ...

Graph colouring, the assignment of colours to the vertices of a graph so that no two adjacent vertices share the same colour, represents a canonical NP-hard combinatorial optimisation problem with ...

Machine learning models are often drowning in data, but the problem is not always the sheer volume of samples. Increasingly, ...

Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a public transportation network. Mathematicians have long sought to develop ...

A professor has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery. University of ...

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 ...

A new graph-attention-based generative adversarial network called GARAGE produces realistic synthetic single-cell RNA-seq ...

Algorithms are the foundation of modern computing. They help computers solve problems, process data, and make decisions efficiently. Understanding the different types of algorithms is an important ...

A new graph-based method reduces costs in quantum circuit building by enabling training-free operator selection.