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Jaemin Yoo
Jaemin Yoo
Assistant Professor, KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Knowledge Extraction with No Observable Data
J Yoo, M Cho, T Kim, U Kang
Advances in Neural Information Processing Systems (NeurIPS), 2701-2710, 2019
932019
Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts
J Yoo, Y Soun, Y Park, U Kang
ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 2037-2045, 2021
692021
Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets
M Scanagatta, G Corani, M Zaffalon, J Yoo, U Kang
International Journal of Approximate Reasoning 95, 152-166, 2018
362018
Midas: Representative sampling from real-world hypergraphs
M Choe, J Yoo, G Lee, W Baek, U Kang, K Shin
Proceedings of the ACM Web Conference 2022, 1080-1092, 2022
212022
Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks
J Yoo, S Jo, U Kang
IEEE International Conference on Data Mining (ICDM), 595-604, 2017
192017
Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets
Y Soun, J Yoo, M Cho, J Jeon, U Kang
2022 IEEE International Conference on Big Data (Big Data), 1691-1700, 2022
162022
Model-agnostic augmentation for accurate graph classification
J Yoo, S Shim, U Kang
Proceedings of the ACM Web Conference 2022, 1281-1291, 2022
152022
Signed graph diffusion network
J Jung, J Yoo, U Kang
arXiv preprint arXiv:2012.14191, 2020
152020
Belief Propagation Network for Hard Inductive Semi-Supervised Learning
J Yoo, H Jeon, U Kang
International Joint Conference on Artificial Intelligence (IJCAI), 4178-4184, 2019
152019
Fast and scalable distributed loopy belief propagation on real-world graphs
S Jo, J Yoo, U Kang
ACM International Conference on Web Search and Data Mining (WSDM), 297-305, 2018
152018
Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting
J Yoo, U Kang
SIAM International Conference on Data Mining (SDM), 531-539, 2021
142021
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference
J Yoo, U Kang, M Scanagatta, G Corani, M Zaffalon
ACM International Conference on Web Search and Data Mining (WSDM), 708-716, 2020
122020
Reciprocity in directed hypergraphs: measures, findings, and generators
S Kim, M Choe, J Yoo, K Shin
Data Mining and Knowledge Discovery 37 (6), 2330-2388, 2023
92023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies
SY Lee, F Bu, J Yoo, K Shin
arXiv preprint arXiv:2306.02376, 2023
82023
Accurate node feature estimation with structured variational graph autoencoder
J Yoo, H Jeon, J Jung, U Kang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
72022
Accurate Graph-Based PU Learning without Class Prior
J Yoo, J Kim, H Yoon, G Kim, C Jang, U Kang
IEEE International Conference on Data Mining (ICDM), 827-836, 2021
72021
Mining of real-world hypergraphs: Patterns, tools, and generators
G Lee, J Yoo, K Shin
Proceedings of the 31st ACM International Conference on Information …, 2022
62022
EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees
J Yoo, L Sael
IEEE International Conference on Data Mining (ICDM), 1438-1443, 2019
52019
Less is more: Slimg for accurate, robust, and interpretable graph mining
J Yoo, MC Lee, S Shekhar, C Faloutsos
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
42023
Data augmentation is a hyperparameter: Cherry-picked self-supervision for unsupervised anomaly detection is creating the illusion of success
J Yoo, T Zhao, L Akoglu
Transactions on Machine Learning Research, 2023
42023
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