Research on Graph Network Recommendation Algorithm Based on Random Walk and Convolutional Neural Network

As a general form of describing and modeling complex systems, networks widely exist in different scenes and tasks in various fields of the real world. Therefore, how to effectively calculate (graph Computing) and analyze (graph mining) data based on network structure has always been the core basic r...

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Veröffentlicht in:	2021 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS) S. 57 - 64
1. Verfasser:	Huang, Meng
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.12.2021
Schlagworte:	Convolution convolutional neural network Feature extraction Heterogeneous information network Heterogeneous networks PathSim Prediction algorithms Random walk Representation learning Semantics Sociology
Online-Zugang:	Volltext
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