Dyn-GWN: Time-Series Forecasting using Time-varying Graphs with Applications to Finance and Traffic Prediction.
Shibal IbrahimMax TellRahul MazumderPublished in: ICAIF (2023)
Keyphrases
- prediction accuracy
- prediction algorithm
- artificial neural networks
- real time
- prediction error
- data assimilation
- transportation networks
- random graphs
- graph clustering
- graph representation
- network traffic
- graph databases
- graph theory
- graph theoretic
- neuro fuzzy
- prediction model
- traffic congestion
- anomaly detection
- portfolio management
- long term