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

arXiv:2610.28090v1 Announce Type: cross Abstract: Existing continuous-time graph learning methods rely heavily on complex neural architectures to encode ever-expanding interaction histories. However, the future conditional distribution induced by complex histo