Jaemin Yoo

According to our database, Jaemin Yoo authored at least 34 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.

Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin

CoRR, 2024

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective.

Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin

CoRR, 2024

NETEFFECT: Discovery and Exploitation of Generalized Network Effects.

Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Reciprocity in directed hypergraphs: measures, findings, and generators.

Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin

Data Min. Knowl. Discov., November, 2023

End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection.

Jaemin Yoo, Lingxiao Zhao, Leman Akoglu

CoRR, 2023

UltraProp: Principled and Explainable Propagation on Large Graphs.

Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos

CoRR, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection.

Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining.

Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

How Transitive Are Real-World Group Interactions? - Measurement and Reproduction.

Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Classification of Edge-dependent Labels of Nodes in Hypergraphs.

Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Deep Attention in Graph Neural Networks: Problems and Remedies.

Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin

Proceedings of the International Conference on Machine Learning, 2023

Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities.

Leman Akoglu, Jaemin Yoo

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Graph-based PU learning for binary and multiclass classification without class prior.

Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, U Kang

Knowl. Inf. Syst., 2022

SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success.

Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos

CoRR, 2022

Understanding the Effect of Data Augmentation in Self-supervised Anomaly Detection.

Jaemin Yoo, Tiancheng Zhao, Leman Akoglu

CoRR, 2022

Model-Agnostic Augmentation for Accurate Graph Classification.

Jaemin Yoo, Sooyeon Shim, U Kang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MiDaS: Representative Sampling from Real-world Hypergraphs.

Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Transition Matrix Representation of Trees with Transposed Convolutions.

Jaemin Yoo, Lee Sael

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Accurate Node Feature Estimation with Structured Variational Graph Autoencoder.

Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Mining of Real-world Hypergraphs: Patterns, Tools, and Generators.

Geon Lee, Jaemin Yoo, Kijung Shin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets.

Yejun Soun, Jaemin Yoo, Minyong Cho, Jihyeong Jeon, U Kang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting.

Jaemin Yoo, U Kang

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Gaussian Soft Decision Trees for Interpretable Feature-Based Classification.

Jaemin Yoo, Lee Sael

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts.

Jaemin Yoo, Yejun Soun, Yong-chan Park, U Kang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Accurate Graph-Based PU Learning without Class Prior.

Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, U Kang

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Signed Graph Diffusion Network.

Jinhong Jung, Jaemin Yoo, U Kang

CoRR, 2020

Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference.

Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2019

Knowledge Extraction with No Observable Data.

Jaemin Yoo, Minyong Cho, Taebum Kim, U Kang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Belief Propagation Network for Hard Inductive Semi-Supervised Learning.

Jaemin Yoo, Hyunsik Jeon, U Kang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees.

Jaemin Yoo, Lee Sael

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets.

Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang

Int. J. Approx. Reason., 2018

Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs.

Saehan Jo, Jaemin Yoo, U Kang

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017

Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks.

Jaemin Yoo, Saehan Jo, U Kang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017