Graph anomaly detection is a crucial area in data mining and machine learning, with applications in network security, fraud detection, and health monitoring. Current methods, however, face limitations ...

Scale-up fabrics connect accelerators (GPUs, AI processors) within a single rack or AI pod, prioritizing ultra-low latency ...

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 ...

A sneeze. Ocean currents. Smoke. What do these have in common? They're instances of turbulence: unpredictable, chaotic, ...