Publications by Computational Biology and Bioinformatics

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.

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.

Raybould, M. et al. (2022) “Computationally profiling peptide:MHC recognition by T-cell receptors and T-cell receptor-mimetic antibodies”, bioRxiv.

Raybould, M. and Deane, C. (2022) “The Therapeutic Antibody ProfilerTherapeutic antibody profiler (TAP) for Computational Developability Assessment”, in Therapeutic Antibodies. Springer Nature, pp. 115–125.

Xu, W. and Reinert, G. (2022) “AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators”, in Advances in Neural Information Processing Systems.

He, Y. et al. (2022) “MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian”, in Proceedings of Machine Learning Research.