Abstract: Traffic prediction is a crucial component of data management systems, leveraging historical data to learn spatio-temporal dynamics for forecasting future traffic and enabling efficient ...
Abstract: Graph Convolutional Networks (GCNs) have been widely studied for attribute graph data learning. In many applications, graph node attributes/features may contain various kinds of noises, such ...
Dec 6 (Reuters) - The EU will take a top-down approach to building a cross-border energy grid, as the bloc's Energy Commissioner Dan Jorgensen warned of billions lost from bottlenecks and failures to ...
Industry Insight from Reuters Events, a part of Thomson Reuters. New data centers and factories are piling further pressure on grid deliveries but new manufacturing capacity will help to curb delays ...
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