1 code implementation • 25 Oct 2023 • Jiaxu Cui, Bingyi Sun, Jiming Liu, Bo Yang
Learning network dynamics from the empirical structure and spatio-temporal observation data is crucial to revealing the interaction mechanisms of complex networks in a wide range of domains.
3 code implementations • 31 May 2019 • Jiaxu Cui, Bo Yang, Xia Hu
Attributed graphs, which contain rich contextual features beyond just network structure, are ubiquitous and have been observed to benefit various network analytics applications.
2 code implementations • 14 May 2019 • Lizheng Ma, Jiaxu Cui, Bo Yang
Based on the new surrogate, we then develop a graph Bayesian optimization framework to address the challenging task of deep neural architecture search.
1 code implementation • 6 May 2019 • Chunxu Zhang, Jiaxu Cui, Bo Yang
Although we can benefit a lot from DA, designing appropriate DA policies requires a lot of expert experience and time consumption, and the evaluation of searching the optimal policies is costly.
no code implementations • 3 May 2018 • Jiaxu Cui, Bo Yang
Network structure optimization is a fundamental task in complex network analysis.