Robotics & Machine Learning Daily News2024,Issue(MAY.8) :1-1.

New Findings from China Jiliang University Update Understanding of Computational Intelligence (A Multi-view Graph Contrastive Learning Framework for Defending A gainst Adversarial Attacks)

Robotics & Machine Learning Daily News2024,Issue(MAY.8) :1-1.

New Findings from China Jiliang University Update Understanding of Computational Intelligence (A Multi-view Graph Contrastive Learning Framework for Defending A gainst Adversarial Attacks)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g from Hangzhou, People’s Republic of China, by NewsRx journalists, research sta ted, “Graph neural networks are easily deceived by adversarial attacks that inte ntionally modify the graph structure. Particularly, homophilous edges connecting similar nodes can be maliciously deleted when adversarial edges are inserted in to the graph.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Hangzhou/People’s Republic of China/As ia/Computational Intelligence/Machine Learning/China Jiliang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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