Lele Long

TSGDiff: Rethinking Synthetic Time Series Generation from a Pure Graph Perspective

Diffusion models have shown great promise in data generation, yet generating time series data remains challenging due to the need to capture complex temporal dependencies and structural patterns. In this paper, we present TSGDiff, a novel framework that rethinks time series generation from a graph-b