Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks Via Exclusive Group Lasso-Reference-Cited by-同舟云学术

Graph Neural Network Meets Sparse Representation: Graph Sparse Neural Networks Via Exclusive Group Lasso

Published:2023 Issue: Volume: Page:1-7
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Jiang Bo¹^ORCID,Wang Beibei²^ORCID,Chen Si²,Tang Jin²^ORCID,Luo Bin²^ORCID

Affiliation:

1. Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China

2. Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/10149528.pdf?arnumber=10149528

Reference30 articles.

1. Semi-Supervised Learning With Graph Learning-Convolutional Networks

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3. Exclusive feature learning on arbitrary structures via -norm;kong;Proc Int Conf Neural Inf Process,2014

4. Sparse graph attention networks;ye;IEEE Trans Knowl Data Eng,2023

5. Are graph convolutional networks with random weights feasible?;huang;IEEE Trans Pattern Anal Mach Intell,2023

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