Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using diffusion, resulting in up to 4x faster inference.

Summary: A new study has decoded the structural white matter communication networks of the brain in individuals with bipolar disorder. The meta-analysis harmonized diffusion MRI data from 449 people ...

Abstract: Graph Neural Networks (GNNs) have recently been utilized to build Collaborative Filtering (CF) models to predict user preferences based on historical user-item interactions. However, there ...

The subgraphs for training are preprocessed with motif detection and stored in different files in this code. We provide StackOverflow as an example. The 1h scale can be used directly, while the 5h and ...

Abstract: Current multi-modal knowledge graph completion often incorporates simple fusion neural networks to achieve multi-modal alignment and knowledge completion tasks, which face three major ...

Exploring the graph latent structures has not garnered much attention in the graph generative research field. Yet, exploiting the latent space is as crucial as working on the data space for discrete ...

Accurate traffic prediction is crucial for an intelligent traffic system (ITS). However, the excessive non-linearity and complexity of the spatial-temporal correlation in traffic flow severely limit ...