DeepHGNN: A Novel Deep Hypergraph Neural Network-Reference-Cited by-同舟云学术

DeepHGNN: A Novel Deep Hypergraph Neural Network

Published:2022-09 Issue:5 Volume:31 Page:958-968
ISSN:1022-4653
Container-title:Chinese Journal of Electronics
language:en
Short-container-title:Chinese J of Electronics

Author:

LIN Jingjing¹²³⁴,YE Zhonglin¹²³,ZHAO Haixing¹²³,FANG Lusheng²³

Affiliation:

1. College of Computer, Qinghai Normal UniversityXining810008China

2. The State Key Laboratory of Tibetan Intelligent Information Processing and ApplicationXining810008China

3. Tibetan Information Processing and Machine Translation Key Laboratory of Qinghai ProvinceXining810008China

4. Xining Urban Vocational & Technical CollegeXining810003China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2021.00.108

Reference47 articles.

1. J.Bruna W.Zaremba A.Szlam et al. “Spectral networks and locally connected networks on graphs ”available at:https://arxiv.org/pdf/1312.6203.pdf 2014‐5‐21.

2. P.Veličković G.Cucurull A.Casanova et al. “Graph attention networks ”available at:https://arxiv.org/abs/1710.10903v1.pdf 2018‐2‐4.

3. HSNR: A network representation learning algorithm using hierarchical structure embedding;Ye Z. L.;Chinese Journal of Electronics,2019

4. T. N.KipfandM.Welling “Variational graph auto‐encoders ”available at:https://arxiv.org/pdf/1611.07308.pdf 2016‐11‐21.

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