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Committee Date Time Place Paper Title / Authors Abstract Paper #
IN, NS
(Joint)
2021-03-05
14:20
Online Online A study of a tunable generative model for graph data using machine learning
Shohei Nakazawa, Yoshiki Sato, Kenji Nakagawa (Nagaoka Univ. of Tech.), Sho Tsugawa (Tsukuba Univ.), Kohei Watabe (Nagaoka Univ. of Tech.) NS2020-159
In recent years, applications and simulations using graphs are becoming more important. The graph has various features, ... [more] NS2020-159
pp.214-219
MIKA
(2nd)
2019-10-04
10:15
Hokkaido Hokkaido Univ. [Poster Presentation] A study of similar network generative model using machine learning
Shohei Nakazawa, Kohei Watabe, Kenji Nakagawa (Nagaoka Univ. of Tech.)
A real topology data are required when we simulate assuming an environment close to a real situation. The real data of t... [more]
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