Raehyun Kim
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Graph transformer networks
S Yun, M Jeong, R Kim, J Kang, HJ Kim
Advances in neural information processing systems 32, 2019
Hats: A hierarchical graph attention network for stock movement prediction
R Kim, CH So, M Jeong, S Lee, J Kim, J Kang
arXiv preprint arXiv:1908.07999, 2019
Global stock market prediction based on stock chart images using deep Q-network
J Lee, R Kim, Y Koh, J Kang
IEEE Access 7, 167260-167277, 2019
DeepNAP: Deep neural anomaly pre-detection in a semiconductor fab
C Kim, J Lee, R Kim, Y Park, J Kang
Information Sciences 457, 1-11, 2018
Sain: Self-attentive integration network for recommendation
S Yun, R Kim, M Ko, J Kang
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
MAPS: Multi-Agent reinforcement learning-based Portfolio management System
J Lee, R Kim, SW Yi, J Kang
arXiv preprint arXiv:2007.05402, 2020
A deep neural spoiler detection model using a genre-aware attention mechanism
B Chang, H Kim, R Kim, D Kim, J Kang
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 183-195, 2018
Predicting multiple demographic attributes with task specific embedding transformation and attention network
R Kim, H Kim, J Lee, J Kang
Proceedings of the 2019 SIAM International Conference on Data Mining, 765-773, 2019
Graph Transformer Networks: Learning meta-path graphs to improve GNNs
S Yun, M Jeong, S Yoo, S Lee, SY Sean, R Kim, J Kang, HJ Kim
Neural Networks, 2022
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