| 2023 | ICML | Graph Generative Model for Benchmarking Graph Neural Networks. | Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Russ Salakhutdinov |
| 2023 | WWW | A Dataset on Malicious Paper Bidding in Peer Review. | Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang |
| 2021 | KDD | Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks. | Minji Yoon, Thophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang |
| 2020 | AAAI | Midas: Microcluster-Based Detector of Anomalies in Edge Streams. | Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos |
| 2020 | ICDM | Provably Robust Node Classification via Low-Pass Message Passing. | Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi |
| 2020 | ICDM | Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. | Minji Yoon, Thophile Gervet, Bryan Hooi, Christos Faloutsos |
| 2019 | KDD | Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. | Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos |
| 2018 | ICDE | TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs. | Minji Yoon, Jinhong Jung, U Kang |
| 2018 | WWW | Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees. | Minji Yoon, Woojeong Jin, U Kang |