S&P100 stocks analysis via Graph Neural Networks (Forecasting, Clustering, Trend classification, Stocks ranking for optimal stock picking)

An eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.

Grid-Aware STGNN for Multi-horizon Power Load Forecasting

GNNs and STGNNs tutorials.

Stock market prediction is a complex and challenging task due to the highly noisy and non-stationary nature of financial data.

基于时空图神经网络的航空发动机剩余寿命（RUL）预测 | STGNN-based RUL prediction using NASA C-MAPSS

Research package for crime prediction under reporting bias in Peru: PRISMA SLR corpus, SPECTER2 bibliometric clustering, semantic edges, STGNN experiments, metrics, and manuscript evidence maps.

Code for paper "Automated Spatial-Temporal Graph Neural Network Search for Skeleton-based Human Action Recognition on Edge Devices"