Minji Yoon

According to our database, Minji Yoon authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

Automatic Question-Answer Generation for Long-Tail Knowledge.

Rohan Kumar, Youngmin Kim, Sunitha Ravi, Haitian Sun, Christos Faloutsos, Ruslan Salakhutdinov, Minji Yoon

CoRR, 2024

2023

Multimodal Graph Learning for Generative Tasks.

Minji Yoon, Jing Yu Koh, Bryan Hooi, Ruslan Salakhutdinov

CoRR, 2023

A Dataset on Malicious Paper Bidding in Peer Review.

Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang

Proceedings of the ACM Web Conference 2023, 2023

Graph Generative Model for Benchmarking Graph Neural Networks.

Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Russ Salakhutdinov

Proceedings of the International Conference on Machine Learning, 2023

2022

Real-Time Anomaly Detection in Edge Streams.

Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos

ACM Trans. Knowl. Discov. Data, 2022

Autonomous graph mining algorithm search with best performance trade-off.

Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos

Knowl. Inf. Syst., 2022

Scalable Privacy-enhanced Benchmark Graph Generative Model for Graph Convolutional Networks.

Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Ruslan Salakhutdinov

CoRR, 2022

Zero-shot Domain Adaptation of Heterogeneous Graphs via Knowledge Transfer Networks.

Minji Yoon, John Palowitch, Dustin Zelle, Ziniu Hu, Ruslan Salakhutdinov, Bryan Perozzi

CoRR, 2022

Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks.

Minji Yoon, John Palowitch, Dustin Zelle, Ziniu Hu, Ruslan Salakhutdinov, Bryan Perozzi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Graph Fraud Detection Based on Accessibility Score Distributions.

Minji Yoon

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks.

Minji Yoon, Théophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang

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

2020

Real-Time Streaming Anomaly Detection in Dynamic Graphs.

Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos

CoRR, 2020

Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off.

Minji Yoon, Théophile Gervet, Bryan Hooi, Christos Faloutsos

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Provably Robust Node Classification via Low-Pass Message Passing.

Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, Bryan Hooi

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Midas: Microcluster-Based Detector of Anomalies in Edge Streams.

Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach.

Minji Yoon, Bryan Hooi, Kijung Shin, Christos Faloutsos

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees.

Minji Yoon, Woojeong Jin, U Kang

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs.

Minji Yoon, Jinhong Jung, U Kang

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

PMV: Pre-partitioned Generalized Matrix-Vector Multiplication for Scalable Graph Mining.

Chiwan Park, Ha-Myung Park, Minji Yoon, U Kang

CoRR, 2017

TPA: Two Phase Approximation for Random Walk with Restart.

Minji Yoon, Jinhong Jung, U Kang

CoRR, 2017