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, ...
GitHub

Pharmaceutical Supply Chain Demo

Tracing product flow Analyzing supplier dependencies Tracking supplier risks and dependency chains Understanding APIs (Active Pharmaceutical Ingredient) dependencies and connections Identifying risks ...
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.
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 ...