| Knowledge Extraction with No Observable Data J Yoo, M Cho, T Kim, U Kang Advances in Neural Information Processing Systems (NeurIPS), 2701-2710, 2019 | 53 | 2019 |
| 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 | 25 | 2018 |
| 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 | 13 | 2017 |
| 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 | 11 | 2021 |
| 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 | 11 | 2018 |
| 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 | 9 | 2019 |
| 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 | 6 | 2020 |
| 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 | 3 | 2021 |
| 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 | 3 | 2021 |
| Signed Graph Diffusion Network J Jung, J Yoo, U Kang arXiv preprint arXiv:2012.14191, 2020 | 3 | 2020 |
| EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees J Yoo, L Sael IEEE International Conference on Data Mining (ICDM), 1438-1443, 2019 | 2 | 2019 |
| 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 | 1 | 2022 |
| Signed random walk diffusion for effective representation learning in signed graphs J Jung, J Yoo, U Kang Plos one 17 (3), e0265001, 2022 | 1 | 2022 |
| 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 |
U KangProfessor of Computer Science and Engineering, Seoul National UniversityVerified email at snu.ac.kr
