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Publications by Probability

Clarkson, J. et al. (2022) “DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series.”
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.
He, Y. et al. (2022) “PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs”, arXiv.
Berestycki, J. et al. (2022) “The distance between the two BBM leaders”, Nonlinearity, 35(4), pp. 1558–1609.
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.”
He, Y., Reinert, G. and Cucuringu, M. (2022) “DIGRAC: Digraph Clustering Based on Flow Imbalance”, in Proceedings of Machine Learning Research.
He, Y. et al. (2022) “MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian”, in Proceedings of Machine Learning Research.
Xu, W. and Reinert, G. (2022) “A Kernelised Stein Statistic for Assessing Implicit Generative Models”, in Advances in Neural Information Processing Systems.