Graph Neural Networks, Cs224w, Llm, Scaling Law, Artificial Intelligence.
compared to the number of graphs. Since each graph has its own unique topology (the number of edges connected to each node), the paper discusses how constructing training data based on the graph can be inefficient for graph tasks. To improve this, it suggests that training data should be structured