41 citations · 95 across the 19 of their papers we have counts for
4 papers · 1 filter
Robust Angular Synchronization via Directed Graph Neural Networks
Yixuan He, Gesine Reinert, David Wipf +1
The angular synchronization problem aims to accurately estimate (up to a constant additive phase) a set of unknown angles from noisy measurements of…
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation
Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu +3
Over recent years, denoising diffusion generative models have come to be considered as state-of-the-art methods for synthetic data generation, especially in the case of generating…
The GNAR-edge model: A network autoregressive model for networks with time-varying edge weights
Anastasia Mantziou, Mihai Cucuringu, Victor Meirinhos +1
In economic and financial applications, there is often the need for analysing multivariate time series, comprising of time series for a range of quantities. In some applications su…
Co-trading networks for modeling dynamic interdependency structures and estimating high-dimensional covariances in US equity markets
Yutong Lu, Gesine Reinert, Mihai Cucuringu
The time proximity of trades across stocks reveals interesting topological structures of the equity market in the United States. In this article, we investigate how such concurrent…