S&P100 stocks analysis via Graph Neural Networks (Forecasting, Clustering, Trend classification, Stocks ranking for optimal stock picking)
-
Updated
May 16, 2024 - Jupyter Notebook
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.
Predictive Pharmaceutical Supply Chain Platform, built for India.
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
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
Official implementation of "Edge-Driven Multi-Agent Systems for Decentralized Stability in Autonomous Smart Grids." Featuring MATD3 reinforcement learning, 6G-enabled URLLC latency benchmarks, and OpenDSS-G power flow simulations for 35% grid resilience.
Code for paper "Automated Spatial-Temporal Graph Neural Network Search for Skeleton-based Human Action Recognition on Edge Devices"
To associate your repository with the stgnn topic, visit your repo's landing page and select "manage topics."