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Dec, 2018
网络重构与动态学习的通用深度学习框架
A General Deep Learning Framework for Structure and Dynamics Reconstruction from Time Series Data
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Zhang Zhang, Jing Liu, Shuo Wang, Ruyue Xin, Jiang Zhang
TL;DR
通过提出 Gumbel Graph 网络 (GGN) 框架，我们展示了一种模型自由、数据驱动的深度学习方法，可用于重建网络连接并预测时间序列的状态。该框架在连续、离散、二进制等不同类型的时间序列数据上展现了显著的对比优势。
Abstract
In this work, we present
gumbel graph network
, a model-free
deep learning
framework for dynamics learning and
network reconstruction
from
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