Feature recommendation strategy for graph convolutional network

Feature recommendation strategy for graph convolutional network

Graph Convolutional Network (GCN) is a new method for extracting, learning, and inferencing graph data that builds an embedded representation of the target node by aggregating information from neighbouring nodes. GCN is decisive for node classification and link prediction tasks in recent research. A...

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Bibliographic Details
Main Authors: Jisheng Qin, Xiaoqin Zeng, Shengli Wu, Yang Zou
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Connection Science
Subjects:
feature recommendation strategy
graph convolutional network
gcn
Online Access:http://dx.doi.org/10.1080/09540091.2022.2080806

Internet

http://dx.doi.org/10.1080/09540091.2022.2080806

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