125 citations · 148 across the 7 of their papers we have counts for
3 papers · 1 filter
Transaction Fraud Detection via an Adaptive Graph Neural Network
Yue Tian, Guanjun Liu, Jiacun Wang +1
Many machine learning methods have been proposed to achieve accurate transaction fraud detection, which is essential to the financial security of individuals and banks. However, mo…
Transfer Learning for Fault Diagnosis of Transmission Lines
Fatemeh Mohammadi Shakiba, Milad Shojaee, S. Mohsen Azizi +1
Recent artificial intelligence-based methods have shown great promise in the use of neural networks for real-time sensing and detection of transmission line faults and estimation o…
Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness
Xuwei Tan, Yangming Zhou, MengChu Zhou +1
Detecting critical nodes in sparse graphs is important in a variety of application domains, such as network vulnerability assessment, epidemic control, and drug design. The critica…