Graph Neural Networks, Cs224w, Llm, Scaling Law, Artificial Intelligence.
collapse refers to the phenomenon where the size of the model relative to the size of the training data is too large, resulting in a failure to improve model performance. Observation 3. Deep graph models with varying depths will have different model scaling behaviors. Observation 3 in the paper