Graph convolutional network (GCN) has gained widespread attention in semisupervised classification tasks. Recent studies show that GCN-based methods have achieved decent performance in numerous fields ...

Telecommunication fraud has led to significant economic losses worldwide. Although Graph Neural Networks (GNNs) have shown potential in fraud detection, their performance in telecom fraud detection ...

DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting, ICPR 2020. [paper] [code] Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision, WACV ...