Robotics & Machine Learning Daily News2024,Issue(Jun.17) :117-118.

Reports Outline Intelligent Systems Study Findings from Huaiyin Institute of Technology (Node Classification In Complex Networks Based On Multi-view Debiased Co ntrastive Learning)

淮阴工学院智能系统研究成果概要(基于多视图去偏协同学习的复杂网络节点分类)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :117-118.

Reports Outline Intelligent Systems Study Findings from Huaiyin Institute of Technology (Node Classification In Complex Networks Based On Multi-view Debiased Co ntrastive Learning)

淮阴工学院智能系统研究成果概要(基于多视图去偏协同学习的复杂网络节点分类)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究-智能系统是一篇报道的主题。根据《新闻周刊》编辑在淮安市的新闻报道,研究表明:“在复杂网络中,对比学习已经成为从图形数据中获取区分性表征的关键技术。最大限度地提高相关样本对之间的相似性,最小化无关样本对之间的相似性是对比学习的关键。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning - Int elligent Systems is the subject of a report. According to news reporting out of Huai’an, People’s Republic of China, by NewsRx editors, research stated, “In com plex networks, contrastive learning has emerged as a crucial technique for acqui ring discriminative representations from graph data. Maximizing the similarity a mong relevant sample pairs while minimizing that among irrelevant pairs is pivot al in contrastive learning.”

Key words

Huai’an/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/Huaiyin Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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