518 citations · 1.2k across the 17 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.CR2022★ 1 cited
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
Yi Zeng, Minzhou Pan, Himanshu Jahagirdar +3
Given the volume of data needed to train modern machine learning models, external suppliers are increasingly used. However, incorporating external data poses data poisoning risks,…
cs.LG2022★ 182 cited
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Ming Jin, Yu Zheng, Yuan-Fang Li +3
Multivariate time series forecasting has long received significant attention in real-world applications, such as energy consumption and traffic prediction. While recent methods dem…
cs.LG2022★ 10 cited
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach
Yu Zheng, Ming Jin, Yixin Liu +3
Anomaly detection from graph data is an important data mining task in many applications such as social networks, finance, and e-commerce. Existing efforts in graph anomaly detectio…