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  2020 (1)
Examining the variability in network populations and its role in generative models. Arora, V.; Guo, D.; Dunbar, K. D.; and Ventresca, M. Netw. Sci., 8(S1): S43-S64. 2020.
Examining the variability in network populations and its role in generative models. [link]Link   Examining the variability in network populations and its role in generative models. [link]Paper   link   bibtex  
  2017 (1)
Dynamic Generative Model of the Human Brain in Resting-State. Guo, D.; Arora, V.; Amico, E.; Goñi, J.; and Ventresca, M. In Cherifi, C.; Cherifi, H.; Karsai, M.; and Musolesi, M., editor(s), COMPLEX NETWORKS, volume 689, of Studies in Computational Intelligence, pages 1271-1283, 2017. Springer
Dynamic Generative Model of the Human Brain in Resting-State. [link]Link   Dynamic Generative Model of the Human Brain in Resting-State. [link]Paper   link   bibtex  
  2014 (1)
Fully nonlinear capillary-gravity wave patterns under the tangential electric field. Tao, B.; and Guo, D. Comput. Math. Appl., 67(3): 627-635. 2014.
Fully nonlinear capillary-gravity wave patterns under the tangential electric field. [link]Link   Fully nonlinear capillary-gravity wave patterns under the tangential electric field. [link]Paper   link   bibtex