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 | 107 | 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 | 85 | 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 | 41 | 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 | 40 | 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 | 30 | 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 | 27* | 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 | 17 | 2020 |
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 | 16 | 2022 |
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 | 15 | 2023 |
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 | 9 | 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 | 6* | 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 | 6 | 2020 |
Multimodal graph learning for generative tasks M Yoon, JY Koh, B Hooi, R Salakhutdinov arXiv preprint arXiv:2310.07478, 2023 | 3 | 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 | 2 | 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 | 1 | 2024 |
Graph fraud detection based on accessibility score distributions M Yoon Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 1 | 2021 |