Missing attribute completion for unattributed nodes in heterogeneous graphs has received increasing attention, but previous works still suffer from the following issues: 1) they ignore the noise in ...

We utilize the variational autoencoder (VAE) framework for improved inference speed and modeling flexibility. Experimental results show that our proposed model achieves results on par with various ...

We're surrounded by machines that talk to us, and we're talking back more than ever. Synthetic voices have moved beyond novelty into everyday tools: podcast narration, virtual coaching apps, and car ...

A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen Graduate School has developed a topology-based variational autoencoder framework ...