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

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

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 ...