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Jaemin Yoo
Jaemin Yoo
Postdoctoral Researcher at Carnegie Mellon University
Verified email at cmu.edu - 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
532019
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
252018
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
132017
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
112021
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
112018
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
92019
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
62020
Accurate Graph-Based PU Learning without Class Prior
J Yoo, J Kim, H Yoon, G Kim, C Jang, U Kang
2021 IEEE International Conference on Data Mining (ICDM), 827-836, 2021
32021
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
32021
Signed Graph Diffusion Network
J Jung, J Yoo, U Kang
arXiv preprint arXiv:2012.14191, 2020
32020
EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees
J Yoo, L Sael
IEEE International Conference on Data Mining (ICDM), 1438-1443, 2019
22019
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
12022
Signed random walk diffusion for effective representation learning in signed graphs
J Jung, J Yoo, U Kang
Plos one 17 (3), e0265001, 2022
12022
Graph-based PU learning for binary and multiclass classification without class prior
J Yoo, J Kim, H Yoon, G Kim, C Jang, U Kang
Knowledge and Information Systems, 1-29, 2022
2022
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder
J Yoo, H Jeon, J Jung, U Kang
arXiv preprint arXiv:2206.04516, 2022
2022
Model-Agnostic Augmentation for Accurate Graph Classification
J Yoo, S Shim, U Kang
Proceedings of the ACM Web Conference 2022, 1281-1291, 2022
2022
Probabilistic Approaches for Node and Graph Classification
유재민
서울대학교 대학원, 2022
2022
Transition Matrix Representation of Trees with Transposed Convolutions
J Yoo, L Sael
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
2022
Gaussian Soft Decision Trees for Interpretable Feature-Based Classification
J Yoo, L Sael
Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 143-155, 2021
2021
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Articles 1–19