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cs.LG2021★ 126 cited
Anomaly Detection in Dynamic Graphs via Transformer
Yixin Liu, Shirui Pan, Yu Guang Wang +4
Detecting anomalies for dynamic graphs has drawn increasing attention due to their wide applications in social networks, e-commerce, and cybersecurity. Recent deep learning-based a…
cs.LG2019
Online Semi-Supervised Concept Drift Detection with Density Estimation
Chang How Tan, Vincent CS Lee, Mahsa Salehi
Concept drift is formally defined as the change in joint distribution of a set of input variables X and a target variable y. The two types of drift that are extensively studied are…