IEEE

Attention-Enhanced Graph Convolution Network for Malware Family Feature Extraction and Embedding

Abstract: Understanding malware from its dynamic API call sequence is non-trivial, since the length of a call sequence might be long and the important calls might be neglected by human beings. In ...
IEEE

Self-Supervised Hyperbolic Spectro-Temporal Graph Convolution Network for Early 3-D Behavior Prediction

Abstract: 3-D human behavior is a highly nonlinear spatiotemporal interaction process. Therefore, early behavior prediction is a challenging task, especially prediction with low observation rates in ...