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GraphPro is a versatile and pluggable OO python library designed for leveraging deep graph learning representations to gain insights into structural proteins and ...

In this study, we propose a novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties. In order to convert financial time series into 2-D ...

The proposed Covariance-based Graph Convolutional Network (CovGCN) model outperforms many machine learning models in recognising sEMG-based hand gestures and mitigating the impact of variable limb ...

The government agency responsible for providing IT services, Shared Services Canada (SSC), confirmed in an email that it blocked the streaming sites on all networks it manages late last year.

To address these issues, a Meta-learning enhanced physics-informed graph attention convolutional network (Meta-PIGACN) model is proposed to handle topological variability in distribution system state ...

In these articles, I called this different way of operating "networks of competence", although "ecosystem organizations" and “a culture of innovation” are also labels that I and others have used.