Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

Gutman, I. and Wagner, S. (2012) The Matching Energy of a Graph. Discrete Applied Mathematics, 160, 2177-2187.

A graph neural network is trained on these latent spaces to jointly denoise the diffusion process on continuous coordinates and discrete codebook indices to incorporate local and global information.

A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. We provide the Dockerfile to run DeFoG in a container. Build the Docker image: docker build --platform=linux ...

This proposed method addresses the limitations of existing approaches by allowing the model to process and generate both discrete and continuous data without the need for separate architectures or ...

Therefore, we extend our model of continuous, ordered cultural traits to discrete, ordered cultural traits and explore the population dynamics of each of these models using simulations. Table 1.