Chinese Academy of Sciences

Desheng Wu

Yunhao Xie

Lei Li

Yifan Zhang

Xiaolong Zheng

Longbo Huang

Tianchi Zhao

Junran Dong

Disclosed is a dynamic network risk predicting method based on a graph neural network, which comprises the following steps: collecting network data firstly and constructing a network data sequence graph; extracting the time sequence of the network data sequence graph and obtaining a time sequence feature graph; extracting network attribute features, network structure features and network change features of the dynamic network; obtaining the representation vector of the network sequence graph by learning the representation vector; constructing the anomaly detection model and carrying out the dynamic network risk prediction.

Dynamic network risk predicting method based on a graph neural network

Disclosed is an intelligent information parsing method based on cross-modal data fusion, including: step 1, acquiring information multi-modal data, step 2, processing the multi-modal data, step 3, fusing data features, step 4, establishing and training a parsing model, step 5, parsing fused cross-modal data, and step 6, viewing parsed data.

Intelligent information parsing method based on cross-modal data fusion

Growing community of inventors

Beijing, China

Desheng Wu