In between course work, lectures and the occasional crisis, dating at Imperial can feel impossible. However, do not fear, we at Felix (naturally) are here to help in this problem that can’t quite be ...

Graph neural networks (GNN) rely on graph operations that include neural network training for various graph related tasks. Recently, several attempts have been made to apply the GNNs to functional ...

Abstract: Block diagrams and signal-flow graphs are used to represent and to obtain the transfer function of interconnected systems. The reduction of signal-flow graphs is considered simpler than the ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

In this article we test the accuracy of three platforms used in computational modelling: MatLab, Octave and Scilab, running on i386 architecture and three operating systems (Windows, Ubuntu and Mac OS ...

Knowledge graphs are a big trend nowadays, but they aren’t as widely known in the data science world. Why? asks Neo4j’s Maya Natarajan The Turing Institute frames knowledge graphs as the best way to ...

School of Ophthalmology and Optometry, Affiliated Eye Hospital, State Key Laboratory of Ophthalmology, Optometry and Vision Science, Wenzhou Medical University, Wenzhou, China Biomedical research ...

A great way to make your presentations or papers slick and memorable is to improve your graphs and diagrams. The standard graphs produced by software such as Excel or SPSS can convey the required ...