3 papers
cs.LG2025
THeGAU: Type-Aware Heterogeneous Graph Autoencoder and Augmentation
Ming-Yi Hong, Miao-Chen Chiang, Youchen Teng +3
Heterogeneous Graph Neural Networks (HGNNs) are effective for modeling Heterogeneous Information Networks (HINs), which encode complex multi-typed entities and relations. However,…
cs.LG2025
WaveletDiff: Multilevel Wavelet Diffusion For Time Series Generation
Yu-Hsiang Wang, Olgica Milenkovic
Time series are ubiquitous in many applications that involve forecasting, classification and causal inference tasks, such as healthcare, finance, audio signal processing and climat…
cs.LG2025
DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform
Peizhi Niu, Yu-Hsiang Wang, Vishal Rana +3
We introduce a new graph diffusion model for small molecule generation, DMol, which outperforms the state-of-the-art DiGress model in terms of validity by roughly 1.5% across all b…