In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

A time series is a sequence of measurements performed at successive points in time. Time series can be used to derive models to predict future values based on previously observed values.

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Python's integration in Excel can unlock powerful reports and automation. But what if you try to use Python in Excel without any coding experience? It's possible, but there is still a learning curve ...

In this paper, we propose a novel approach called the Partially-Supervised Graph Derivation Network with Meta Learning (PS-GDNML) for time series anomaly detection. PS-GDNML combines the power of ...

But how do you pick the best games worth playing? Well, you certainly want to be challenged and at the same time, entertained. And these best Xbox Series X/S co-op games of all time do it better than ...

Abstract: In the field of multivariate time series prediction, capturing the dynamic relationships ... To address this challenge, our paper introduces MSPredictor, a multi-scale dynamic graph neural ...