Investors flee cash-burning, clean-energy names on fears that a more hawkish Fed chair and collapsing gold prices signal a sharp turn toward higher-for-longer interest rates and tighter financial ...

Abstract: High-dimensional and incomplete (HDI) data are frequently encountered in diverse real-world applications involving complex interactions among numerous nodes. Approaches based on latent ...

Abstract: Robotic manipulation of deformable linear objects (DLOs) has broad application prospects, e.g., manufacturing and medical surgery. To achieve such tasks, a critical challenge is the precise ...

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 ...

Abstract: Accurately predicting traffic flow is paramount in addressing congestion issues within urban traffic management. However, traditional deep learning methods face limitations in handling the ...