This project describes some of the many ways Node-RED can be run under Docker and has support for multiple architectures (amd64 and arm64v8). Some basic familiarity with Docker and the Docker Command ...

Link prediction is a fundamental machine learning task on complex networks, used to evaluate the central technique of low-dimensional embeddings. Our results question the common wisdom that ...

The hippocampus is essential for learning and memory. Over the last decades, predictions have been developed for how the CA3 module could execute such processes. However, at the synaptic level, ...

Understanding how different online communities engage with COVID-19 misinformation is critical for public health response. For example, misinformation confined to a small, isolated community of users ...

With the release of more and more AlphaFold (Jumper et al., 2021) or RoseTTAFold (Baek et al., 2021) predicted structures and experimentally determined structures, it is important to be able to do ...

In this paper, we propose graph attention based network representation (GANR) which utilizes the graph attention architecture and takes graph structure as the supervised learning information. Compared ...

Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining. Neural ...

All of these nodes are available as individual npm packages. See the list below for the npm package names, or search npm. This repository acts as an overall store for these nodes - and is not intended ...

Neuroscience currently lacks a comprehensive theory of how cognitive processes can be implemented in a biological substrate. The Neural Engineering Framework (NEF) proposes one such theory, but has ...