专利名称：ADAPTIVE NEURAL NETWORKS FOR NODE
CLASSIFICATION IN DYNAMIC NETWORKS
发明人：Wei Cheng,Haifeng Chen,Wenchao
Yu,Dongkuan Xu
申请号：US16872546
申请日：20200512adaptive
公开号：US20200366690A1
公开日：
20201119
专利内容由知识产权出版社提供
专利附图：
摘要：Methods and systems for detecting anomalous behavior in a network include identifying topological state information in a dynamic network using a first neural
network. Attribute state information in the dynamic network is identified, based on a partial labeling of nodes in the dynamic network, using a second neural network. The topological state information and the attribute state information are concatenated. Labels for unlabeled nodes in the dynamic network are predicted using a multi-factor attention, based on the concatenated state information. A security action is performed responsive to a determination that at least one node in the dynamic network is anomalous.
申请人：NEC Laboratories America, Inc.
地址：Princeton NJ US
国籍：US
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