GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
How-To Geek on MSN

These 7 Python libraries are useful even if you're not a developer

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Dell Pro Max 18 Plus review: I tested this giant in an AI startup lab and it refused to sweat

The Dell Pro Max 18 Plus wants to give you all the desktop-tier firepower in the world. In return, you must be ready to bear ...
IEEE

BP Neural Network Assisted iFEM for Damage Identification Using Triangular Layout FBG Arrays

Abstract: Utilizing a back-propagation neural network in conjunction with the inverse finite element method, a robust approach is proposed for the damage identification in fiber-optic sensor based ...