A research team from the University of Science and Technology of China has demonstrated the ability to electrically manipulate the spin filling sequence in a bilayer graphene (BLG) quantum dot (QD).
This fusion mechanism effectively enhances the model’s ability to learn node representations, especially in complex graph structures, with accuracy improvements of 1%-2% compared to GCN and GraphSAGE.
The interplay between graph analytics and large language models (LLMs) represents a promising frontier for advancing ...