We tackle this problem by modelling network traffic as graphs and applying deep learning for classification. We design a graph classifier based on higher order graph neural network with the aim of ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Turn any document into a professional video in 20 minutes using NotebookLM. No editing skills required – free, fast, and ...

Netflix's Cowboys documentary highlights a 1996 plot by a Dallas officer to kill Michael Irvin, revealed during his drug ...

Designing GMDH Model Using Modified Levenberg Marquardt Technique in Matlab (Maryam Pournasir Roudbaneh) Group Method of Data Handing Using Discrete Differential Evolution in Matlab (Donald Davendra, ...

Environment and human rights organisation Both ENDS is bringing legal action against Boskalis, after the Dutch dredging company continually ignored requests for information on a controversial sand ...

In this paper, we describe POP, a MATLAB toolbox for parametric optimization. It features (a) efficient implementations of multiparametric programming problem solvers for multiparametric linear and ...

MATLAB GUI for static beam analysis via Finite Element Method (FEM). Features customizable mesh, boundary conditions, custom load equations, and post-processing visualizations for displacement, stress ...