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Title:
REPRESENTATION LEARNING ALGORITHM ORIENTED TO CROSS-NETWORK APPLICATION
Document Type and Number:
WIPO Patent Application WO/2021/196240
Kind Code:
A1
Abstract:
Provided is a representation learning algorithm oriented to cross-network application, the algorithm comprising: S1, generating data of networks comprising a source network and a target network, wherein data of each network data includes topological structure information and node attribute information of the network, and the target network is a network to be inferred and characterized; S2, randomly sampling a set number of nodes from the source network and the target network, and sorting same into a data format that meets an input for the algorithm; S3, after input data from the source network and the target network is received, respectively inputting same into an L-layer neural network, respectively calculating structural features and expression features of the source network and the target network for each layer, and calculating the distance loss between corresponding features of the source network and the target network; S4, performing classification prediction probability calculation on an expression vector, obtained from the L-layer neural network, of a source network node, calculating a classification loss using a cross entropy loss function, and updating, in combination with the distance loss, neural network parameters by means of a back-propagation algorithm; and S5, repeating steps S2-S4 until the entire algorithm converges. Therefore, the invention effectively solves the problem of cross-network representation learning, and has a broad application space in reality.

Inventors:
WANG CHAOKUN (CN)
YAN BENCHENG (CN)
Application Number:
PCT/CN2020/083378
Publication Date:
October 07, 2021
Filing Date:
April 03, 2020
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Assignee:
UNIV TSINGHUA (CN)
International Classes:
G06F16/36; G06N3/08
Foreign References:
CN110489567A2019-11-22
CN110751214A2020-02-04
CN109241321A2019-01-18
US20200034687A12020-01-30
Attorney, Agent or Firm:
BEIJING STRONG WISDOM INTELLECTUAL PROPERTY AGENCY LTD. (CN)
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