Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Researchers from BUPT and CUHK-SZ propose FedSIN to tackle heterogeneity and dynamic contributions in non-Euclidean federated ...

A super geeky topic, which could have super important repercussions in the real world. That description could very well fit anything from cold fusion to knowledge graphs, so a bit of unpacking is in ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...