1 code implementation • 15 Jun 2022 • Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng
However, the anomaly scoring function is not adaptive to the natural variation in reconstruction error across the range of normal samples, which hinders their ability to detect real anomalies.
1 code implementation • 10 Dec 2021 • Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng
This allows us to introduce learnability into local outlier methods, in the form of a neural network, for greater flexibility and expressivity: specifically, we propose LUNAR, a novel, graph neural network-based anomaly detection method.