Xinwei Huang

Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game

In typical graph neural networks (GNNs), feature representation learning naturally evolves through iteratively updating node features and exchanging information based on graph topology. In this context, we conceptualize that the learning process in GNNs is a mean-field game (MFG), where each graph n…