CGT, or Convolutional Graph Transformer, is a prominent a powerful methodology for processing 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 mechanism known as temporal encoding to