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 ...

Google Sheets gets a key visual improvement for data nerds

A Google Sheets update this week has introduced the ability to import 3D graphs directly into your spreadsheets.
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.
The News Letter

Jayne Brady u-turn as NI Civil Service staff told not to participate in Pride parades in 'official capacity' - DUP welcome change of heart

Thank you for signing up! Did you know with a Digital Subscription to Belfast News Letter, you can get unlimited access to the website including our premium content ...
IEEE

Cross-Modal 3D Shape Retrieval via Heterogeneous Dynamic Graph Representation

Abstract: Cross-modal 3D shape retrieval is a crucial and widely applied task in the field of 3D vision. Its goal is to construct retrieval representations capable of measuring the similarity between ...
GitHub

Tools for building and manipulating graphs in Python.

The graphtools.Graph class provides an all-in-one interface for k-nearest neighbors, mutual nearest neighbors, exact (pairwise distances) and landmark graphs. Use it as follows: from sklearn import ...