Jingzhe Liu

Towards Neural Scaling Laws on Graphs

2024 · arXiv (Cornell University)

Deep graph models (e.g., graph neural networks and graph transformers) have become important techniques for leveraging knowledge across various types of graphs. Yet, the neural scaling laws on graphs, i.e., how the performance of deep …