Teaching: These lesson plans aim to help students make associations between positive-affect dynamics and mental and physical ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Abstract: Accurate traffic prediction is crucial for urban traffic management. Spatial-temporal graph neural networks, which combine graph neural networks with time series processing, have been ...
This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2020. Mammalian cells contain only one glycosyltransferase, OGT, that ...
Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...
A minimalistic and customizable graph card for Home Assistant Lovelace UI. The card works with entities from within the sensor & binary_sensor domain and displays the sensors current state as well as ...
Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback