HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction.
Raehyun KimChan Ho SoMinbyul JeongSanghoon LeeJinkyu KimJaewoo KangPublished in: CoRR (2019)
Keyphrases
- prediction accuracy
- small world
- peer to peer
- spanning tree
- graph theory
- random walk
- complex networks
- sparsely connected
- communication networks
- prediction algorithm
- prediction model
- graph representation
- elman network
- dynamic networks
- radial basis function network
- graphical representation
- graph theoretic
- prediction error
- structured data
- graph matching
- computer networks
- power law
- wireless sensor networks
- random graphs
- protein interaction networks
- fully connected
- degree distribution
- stock market
- network structure