Publications

Wilsenach, J. et al. (2022) “Ranking of Communities in Multiplex Spatiotemporal Models of Brain Dynamics.”

Wilsenach, J. et al. (2022) “Ranking of communities in multiplex spatiotemporal models of brain dynamics ”, Applied Network Science, 7.

Kanade, V., Rebeschini, P. and Vaskevicius, T. (2022) “Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition”, arXiv.

He, Y. et al. (2022) “PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs”, arXiv.

He, Y. et al. (2022) “GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks.”

Bennett, S., Cucuringu, M. and Reinert, G. (2022) “Lead-lag detection and network clustering for multivariate time series with an application to the US equity market.”

Ernst, M., Reinert, G. and Swan, Y. (2022) “On Papathanasiou’s covariance expansions”, Latin American Journal of Probability and Mathematical Statistics, 19(2), pp. 1827 – 1827.

He, Y., Reinert, G. and Cucuringu, M. (2022) “DIGRAC: Digraph Clustering Based on Flow Imbalance”, in Proceedings of Machine Learning Research.

Ramisch, A. et al. (2022) “Dynamics of gene regulatory organization in longitudinal twin RNA-seq data”, in EUROPEAN JOURNAL OF HUMAN GENETICS, pp. 67–67.

Nicholson, G. et al. (2022) “Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework”, Nature Microbiology, 7(1), pp. 97–107.