Publications
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
- Under review at Experts systems with applications
- Raehyun Kim, Chan Ho So, Minbyul Jeong, Sanghoon Lee, Jinkyu Kim, Jaewoo Kang
- Hierarchical graph attention network to incorporate relationship between companies to predict stock price movement.
Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network
- IEEE Access
- Jinho Lee, Raehyun Kim, Yookyung Koh, and Jaewoo Kang
- Train DQN agent in US market and evaluate it on global market (31 countries).
Graph Transformer Networks
- NeurIPS 2019
- Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
- Graph Transformer Networks (GTNs) that are capable identifying useful connections between unconnected nodes on the original graph
SAIN: Self-Attentive Integration Network for Recommendation
- SIGIR 2019
- Seoungjun Yun* , Raehyun Kim* , Miyoung Ko, Jaewoo Kang
- Self-Attentive Integration Network (SAIN) which is a model that effectively combines user-item feedback information and auxiliary information.
Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network
- SDM 2019
- Raehyun Kim∗ Hyunjae Kim∗ Janghyuk Lee, Jaewoo Kang
- Embedding Transformation Network with Attention, multi-task learning approach for demographic prediction.