A robust graph attention network with dynamic adjusted graph-Reference-Cited by-同舟云学术

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A robust graph attention network with dynamic adjusted graph

Published:2024-03 Issue: Volume:129 Page:107619
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhou Xianchen,Zeng Yaoyun,Hao Zepeng,Wang Hongxia

Funder

National Natural Science Foundation of China

National University of Defense Technology

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference30 articles.

1. Neural machine translation by jointly learning to align and translate;Bahdanau,2014

2. Adversarial attack on graph structured data;Dai,2018

3. All you need is low (rank): Defending against adversarial attacks on graphs;Entezari,2020

4. Neural message passing for quantum chemistry;Gilmer,2017

5. Inductive representation learning on large graphs;Hamilton,2017

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1. Resource-constrained edge-based deep learning for real-time person-identification using foot-pad;Engineering Applications of Artificial Intelligence;2024-12

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