Enhancing Text Classification by Graph Neural Networks With Multi-Granular Topic-Aware Graph-Reference-Cited by-同舟云学术

Enhancing Text Classification by Graph Neural Networks With Multi-Granular Topic-Aware Graph

Author:

Gu Yongchun¹^ORCID,Wang Yi²,Zhang Heng-Ru³^ORCID,Wu Jiao⁴^ORCID,Gu Xingquan⁵

Affiliation:

1. School of Mathematics, Sichuan University of Arts and Sciences, Dazhou, China

2. Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China

3. School of Computer Science, Southwest Petroleum University, Chengdu, China

4. College of Science, China Jiliang University, Hangzhou, China

5. College of Standardization, China Jiliang University, Hangzhou, China

Funder

Chinese National Natural Science Foundation

China State Administration for Market Regulation Technical Support Special Project

Open Research Fund of College of Teacher Education

Zhejiang Normal University

Multi-Dimensional Data Perception and Intelligent Information Processing Laboratory Open Fund Project

Sichuan University of Arts and Sciences Research Initiation Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference45 articles.

2. Graph attention networks;veli?kovi?;Proc ICLR,2018

4. Semi-supervised classification with graph convolutional networks;welling;Proc ICLR,2016

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