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 ...
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, ...
The Next Platform

A Deep Dive On China’s “LineShine” All-CPU, Exaflops-Class Supercomputer

It has been nine years since a Chinese HPC supercomputer was at the top of the High Performance Linpack performance rankings, but as we all know, China did break through the exascale flops barrier at ...
IEEE

Self-Attention Graph Convolution Imputation Network for Spatio-Temporal Traffic Data

Abstract: Missing data in time series is a pervasive problem that serves as obstacles for subsequent traffic data analysis. Consequently, extensive research works have been conducted on traffic ...
How-To Geek on MSN

These 5 Python libraries turned me into a better data analyst than Excel ever could

The power of Python trumps Excel workbooks.