Hierarchical Graph Learning for Stock Market Prediction Via a Domain-Aware Graph Pooling Operator.
Arie N. AryaYao Lei XuLjubisa StankovicDanilo P. MandicPublished in: ICASSP (2023)
Keyphrases
- stock market prediction
- learning process
- domain independent
- graph representation
- weighted graph
- graph structure
- graph theory
- graph model
- supervised learning
- domain specific
- learning algorithm
- random walk
- directed graph
- graphical models
- training data
- bipartite graph
- image compression
- active learning
- image analysis
- feature space