A new open-access study reports that fusing attribute features with graph structure and training classifiers collaboratively ...

A new contrastive learning framework called VMCL improves knowledge graph embedding for unseen entities and shows smooth, predictable gains as model capacity scales up.

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

Autoencoders are a common tool for training neural network algorithms, but developers need to be mindful of the challenges that come with using them skillfully. Autoencoders are additional neural ...