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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
592019
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
262018
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
162017
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
152021
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
112019
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
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
IEEE International Conference on Data Mining (ICDM), 827-836, 2021
52021
Signed Graph Diffusion Network
J Jung, J Yoo, U Kang
arXiv preprint arXiv:2012.14191, 2020
52020
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
42021
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
32022
EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees
J Yoo, L Sael
IEEE International Conference on Data Mining (ICDM), 1438-1443, 2019
32019
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder
J Yoo, H Jeon, J Jung, U Kang
arXiv preprint arXiv:2206.04516, 2022
22022
Signed random walk diffusion for effective representation learning in signed graphs
J Jung, J Yoo, U Kang
Plos one 17 (3), e0265001, 2022
12022
Transition Matrix Representation of Trees with Transposed Convolutions
J Yoo, L Sael
SIAM International Conference on Data Mining (SDM), 154-162, 2022
12022
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
2022
Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators
S Kim, M Choe, J Yoo, K Shin
arXiv preprint arXiv:2210.05328, 2022
2022
SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success
J Yoo, MC Lee, S Shekhar, C Faloutsos
arXiv preprint arXiv:2210.04081, 2022
2022
Role of Data Augmentation in Unsupervised Anomaly Detection
J Yoo, T Zhao, L Akoglu
arXiv preprint arXiv:2208.07734, 2022
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 64 (8), 2141-2169, 2022
2022
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