What are embedding outputs?

Embeddings are learned vectors representing graph entities. You can use them for clustering, segmentation, retrieval, or as features for another model.

Select PredictionArtifactType.EMBEDDINGS in the prediction output configuration. Filesystem and object-storage connectors also support saving predictions and embeddings together. ID-GNN does not support embedding output.

See Generate and Save Embeddings for task-specific options and storage examples.

To supply vectors computed by another model as input features, see External Column Embeddings.