A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...

Treasury has raised concerns about the difficulties of implementing the Productivity Commission’s proposed corporate cash flow tax and warned of potential risks to investment if the wrong profits are ...

Abstract: Characterizing the nonlinear dynamic behaviors of gas–liquid two-phase flow is a challenging but rewarding research topic. In this article, a novel multilayer visibility graph-based ordinal ...

Abstract: Traffic flow prediction is essential for intelligent transportation systems, yet privacy concerns and limited cross-regional data sharing hinder accurate modeling of global traffic patterns.