Minji Yoon

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Knowledge Transfer

Anomaly Detection

Top Venues

Publications

Rohan Kumar, Youngmin Kim, Sunitha Ravi, Haitian Sun, Christos Faloutsos, Ruslan Salakhutdinov, Minji Yoon
Automatic Question-Answer Generation for Long-Tail Knowledge. CoRR (2024)
Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Russ Salakhutdinov
Graph Generative Model for Benchmarking Graph Neural Networks. ICML (2023)
Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang
A Dataset on Malicious Paper Bidding in Peer Review. WWW (2023)
Minji Yoon, Jing Yu Koh, Bryan Hooi, Ruslan Salakhutdinov
Multimodal Graph Learning for Generative Tasks. CoRR (2023)
Minji Yoon, John Palowitch, Dustin Zelle, Ziniu Hu, Ruslan Salakhutdinov, Bryan Perozzi
Zero-shot Domain Adaptation of Heterogeneous Graphs via Knowledge Transfer Networks. CoRR (2022)
Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang
A Dataset on Malicious Paper Bidding in Peer Review. CoRR (2022)
Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Ruslan Salakhutdinov
Scalable Privacy-enhanced Benchmark Graph Generative Model for Graph Convolutional Networks. CoRR (2022)
Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
Real-Time Anomaly Detection in Edge Streams. ACM Trans. Knowl. Discov. Data 16 (4) (2022)
Minji Yoon, John Palowitch, Dustin Zelle, Ziniu Hu, Ruslan Salakhutdinov, Bryan Perozzi
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks. NeurIPS (2022)
Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos
Autonomous graph mining algorithm search with best performance trade-off. Knowl. Inf. Syst. 64 (6) (2022)
Minji Yoon, Théophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang
Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks. KDD (2021)
Minji Yoon
Graph Fraud Detection Based on Accessibility Score Distributions. ECML/PKDD (2) (2021)
Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. CoRR (2020)
Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
Midas: Microcluster-Based Detector of Anomalies in Edge Streams. AAAI (2020)
Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi
Provably Robust Node Classification via Low-Pass Message Passing. ICDM (2020)
Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
Real-Time Streaming Anomaly Detection in Dynamic Graphs. CoRR (2020)
Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. CoRR (2020)
Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. ICDM (2020)
Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. KDD (2019)
Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams. CoRR (2019)
Minji Yoon, Jinhong Jung, U Kang
TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs. ICDE (2018)
Minji Yoon, Woojeong Jin, U Kang
Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees. WWW (2018)
Minji Yoon, Jinhong Jung, U Kang
TPA: Two Phase Approximation for Random Walk with Restart. CoRR (2017)
Minji Yoon, Woojeong Jin, U Kang
Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees. CoRR (2017)
Chiwan Park, Ha-Myung Park, Minji Yoon, U Kang
PMV: Pre-partitioned Generalized Matrix-Vector Multiplication for Scalable Graph Mining. CoRR (2017)