Open access
Sep 2026
FCTGE: fractal-causal temporal graph embedding for unified time series representation learning
A novel fractal–causal temporal graph embedding (FCTGE) framework is proposed, which unifies multiscale fractal temporal dynamics, time-lagged causal interactions, and variable-level statistical characteristics within a unified graph-based representation learning paradigm.
Ying Zhang, Rong-Cong Wang, Yu-Rong Liu et al.
· Physica Scripta · 0 citations