Simulation of autonomous vehicle systems requires that simulated traffic participants exhibit diverse and realistic behaviors.

Nevertheless, it remains elusive that whether the Transformer-based architecture can do molecular modeling as good as equivariant GNNs.

However, these methods have notable limitations.

While existing GNNs are highly proficient at capturing information from rich neighborhoods (i.e.,