CGT, or Convolutional Graph Transformer, emerges as a powerful methodology for understanding temporal data. It leverages the strengths of both convolutional networks and graph representations to capture intricate relationships and dependencies within sequential information. At its core, CGT utilizes a unique process known as temporal encoding to em