Abstract: The success of graph neural networks stimulates the prosperity of graph mining and the corresponding downstream tasks including graph anomaly detection (GAD). However, it has been explored ...

Abstract: This paper proposes a bi-level tensor decomposition (BLTD), properly exploiting the characterization advantages of tensor subspace representation (TSR) and tensor ring decomposition (TRD).