Han-Tong Feng

From Complex Histories to Simple Predictors: Predictive Dimension in Dynamic Graph Learning

It is argued that continuous-time graph learning should identify low-dimensional states sufficient for future prediction rather than reconstruct the full history, and proposed PreDyG, a lightweight model whose capacity is matched to the intrinsic predictive dimension.