首页|New Computational Intelligence Study Results Reported from Beijing Jiaotong University (Mdg: a Multi-task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting)
New Computational Intelligence Study Results Reported from Beijing Jiaotong University (Mdg: a Multi-task Dynamic Graph Generation Framework for Multivariate Time Series Forecasting)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning - Compu tational Intelligence are presented in a new report. According to news reporting originating in Beijing, People's Republic of China, by NewsRx journalists, rese arch stated, “For accurate forecasting of multivariate time series, it is essent ial to consider the relationship between temporal and spatial dimensions. Graph neural networks (GNNs) have gained popularity in recent years due to their abili ty to capture spatio-temporal correlations in a graph topology from multivariate time series.”
BeijingPeople's Republic of ChinaAsiaComputational IntelligenceMachine LearningBeijing Jiaotong University
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