Minji Yoon
Minji Yoon
Computer Science Department, Carnegie Mellon University
Verified email at - Homepage
Cited by
Cited by
Midas: Microcluster-based detector of anomalies in edge streams
S Bhatia, B Hooi, M Yoon, K Shin, C Faloutsos
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3242-3249, 2020
Fast and accurate anomaly detection in dynamic graphs with a two-pronged approach
M Yoon, B Hooi, K Shin, C Faloutsos
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Fast and accurate random walk with restart on dynamic graphs with guarantees
M Yoon, W Jin, U Kang
Proceedings of the 2018 World Wide Web Conference, 409-418, 2018
Tpa: Fast, scalable, and accurate method for approximate random walk with restart on billion scale graphs
M Yoon, J Jung, U Kang
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1132-1143, 2018
Performance-adaptive sampling strategy towards fast and accurate graph neural networks
M Yoon, T Gervet, B Shi, S Niu, Q He, J Yang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
Autonomous graph mining algorithm search with best performance trade-off
M Yoon, T Gervet, B Hooi, C Faloutsos
Knowledge and Information Systems, 1-32, 2022
Provably robust node classification via low-pass message passing
Y Wang, S Liu, M Yoon, H Lamba, W Wang, C Faloutsos, B Hooi
2020 IEEE International Conference on Data Mining (ICDM), 621-630, 2020
A dataset on malicious paper bidding in peer review
S Jecmen, M Yoon, V Conitzer, NB Shah, F Fang
Proceedings of the ACM Web Conference 2023, 3816-3826, 2023
Real-time anomaly detection in edge streams
S Bhatia, R Liu, B Hooi, M Yoon, K Shin, C Faloutsos
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (4), 1-22, 2022
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks
M Yoon, J Palowitch, D Zelle, Z Hu, R Salakhutdinov, B Perozzi
Advances in Neural Information Processing Systems, 2022
Graph Generative Model for Benchmarking Graph Neural Networks
M Yoon, Y Wu, J Palowitch, B Perozzi, R Salakhutdinov
arXiv preprint arXiv:2207.04396, 2022
Real-time streaming anomaly detection in dynamic graphs
S Bhatia, R Liu, B Hooi, M Yoon, K Shin, C Faloutsos
arXiv preprint arXiv:2009.08452 3 (8), 2020
Multimodal graph learning for generative tasks
M Yoon, JY Koh, B Hooi, R Salakhutdinov
arXiv preprint arXiv:2310.07478, 2023
PMV: Pre-partitioned Generalized Matrix-Vector Multiplication for Scalable Graph Mining
C Park, HM Park, M Yoon, U Kang
arXiv preprint arXiv:1709.09099, 2017
Automatic question-answer generation for long-tail knowledge
R Kumar, Y Kim, S Ravi, H Sun, C Faloutsos, R Salakhutdinov, M Yoon
arXiv preprint arXiv:2403.01382, 2024
Graph fraud detection based on accessibility score distributions
M Yoon
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
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