首页|Findings from Heilongjiang University Yields New Data on Intelligent Systems (Jo int Data Augmentations for Automated Graph Contrastive Learning and Forecasting)
Findings from Heilongjiang University Yields New Data on Intelligent Systems (Jo int Data Augmentations for Automated Graph Contrastive Learning and Forecasting)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning - Intelligent Systems. Accordingto news reporting originating in Harbin, People’s Republic of China, by NewsRx journalists, research stated,“ Graph augmentation plays a crucial role in graph contrastive learning. However, existing methods primarilyoptimize augmentations specific to particular dataset s, which limits their robustness and generalizationcapabilities.”
HarbinPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningHeilongjiang University
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