1 code implementation • 2 Jun 2023 • Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
Graph Anomaly Detection (GAD) is a technique used to identify abnormal nodes within graphs, finding applications in network security, fraud detection, social media spam detection, and various other domains.
1 code implementation • 5 Dec 2021 • Xuesong Wang, Zhihang Hu, Tingyang Yu, Ruijie Wang, Yumeng Wei, Juan Shu, Jianzhu Ma, Yu Li
Our approach can efficiently map the above data with high sparsity and noise from different spaces to a low-dimensional manifold in a unified space, making the downstream alignment and integration straightforward.
no code implementations • 30 Jun 2021 • Juan Shu, Bowei Xi, Charles Kamhoua
Our study reveals the structural problem of DNN classification boundary that leads to the adversarial examples.