Graph link prediction in computer networks using Poisson matrix factorisation

Author:

Sanna Passino Francesco1,Turcotte Melissa J. M.2,Heard Nicholas A.1

Affiliation:

1. Department of Mathematics, Imperial College London

2. Microsoft 365 Defender, Microsoft Corporation

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference60 articles.

1. Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Information Science and Statistics. Springer, New York.

2. Hoff, P. D., Raftery, A. E. and Handcock, M. S. (2002). Latent space approaches to social network analysis. J. Amer. Statist. Assoc. 97 1090–1098.

3. Kivelä, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y. and Porter, M. A. (2014). Multilayer networks. J. Complex Netw. 2 203–271.

4. Salter-Townshend, M. and Murphy, T. B. (2013). Variational Bayesian inference for the latent position cluster model for network data. Comput. Statist. Data Anal. 57 661–671.

5. WU, Z., PAN, S., CHEN, F., LONG, G., ZHANG, C. and YU, P. S. (2021). A comprehensive survey on graph neural networks. IEEE Trans. Neural Netw. Learn. Syst. 32 4–24.

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