Data processing method and device based on graph convolutional neural network, equipment and medium

Abstract

The invention discloses a data processing method and device based on a graph convolutional neural network, equipment and a medium. The method comprises the steps of obtaining first graph structure data to be processed and inputting the first graph structure data to the pre-trained graph convolutional neural network; calling the graph convolutional neural network to perform neighbor node sampling operation and neighborhood information aggregation operation on each first node in the first graph structure data so as to update each first node; and calling the graph convolutional neural network toobtain a processing result of the first graph structure data based on the updated first nodes. According to the method, the difference of the relationship between the nodes is mined by the graph convolutional neural network, so that a more accurate processing result can be made according to mined more sufficient information.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a data processing method, device, equipment and medium based on a graph convolutional neural network. Background technique [0002] With the development of computer technology, more and more technologies (big data, distributed, blockchain, artificial intelligence, etc.) The industry's security and real-time requirements also put forward higher requirements for technology. [0003] In recent years, deep learning has set off a technological revolution in industry and academia, and promoted the development of image detection and recognition, natural language processing, and speech recognition. At present, how to apply deep learning technology, especially the widely used convolutional neural network, to complex and high-dimensional graph structure data (such as social network and protein structure data, etc.) points of interest. [0004] Neural Message Passing repres...

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Problems solved by technology

[0005] The main purpose of the present invention is to provide a data processing method, device, equipment and medium based on a graph convolutional neural network, aiming to solve the problem that the current graph convolutional neural network (GCN) cannot accurately mine the information in the graph structure data. The problem of inaccurate processing results of graph structure data

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