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, ...
IEEE

DST-GNN: A Dynamic Spatiotemporal Graph Neural Network for Cyberattack Detection in Grid-Tied Photovoltaic Systems

Abstract: The increasing deployment of solar photovoltaic (PV) systems in the electric grid, aimed at addressing the energy crisis and surging power demands, has expanded the potential vulnerability ...