Graph Neural Networks, Cs224w, Llm, Scaling Law, Artificial Intelligence.
meaningful. Through this, it is discussed that in graph tasks, as the size of the model and dataset increases, performance can also improve proportionally, and its potential is mentioned. Observation 2. The model scaling collapses in the graph domain often happen due to the overfitting. The paper