Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting.
Tanwi MallickPrasanna BalaprakashEric RaskJane MacFarlanePublished in: CoRR (2020)
Keyphrases
- short term
- transfer learning
- long term
- neural network
- electric load forecasting
- learning tasks
- forecasting model
- knowledge transfer
- short term prediction
- pattern recognition
- active learning
- reinforcement learning
- short term and long term
- labeled data
- load forecasting
- medium term
- machine learning
- cross domain
- arima model
- stock market
- transfer knowledge
- fuzzy logic
- multi task
- learning algorithm
- collaborative filtering
- artificial neural networks
- text categorization
- back propagation
- wind speed
- machine learning algorithms
- long term memory
- text classification
- neural network model
- k nearest neighbor
- semi supervised
- recurrent neural networks
- power generation
- short and long term
- text mining
- data mining