FastPath is now available in Aura Graph Analytics

You can now use FastPath, a new algorithm in Aura Graph Analytics, to turn time-stamped event sequences into embeddings you can search, cluster, or feed into a model. Think customer journeys, patient histories, transaction chains, or clickstreams: anywhere timing changes what an event means. Three failed logins over a month means something very different from three failed logins in five seconds, and FastPath's embeddings capture that difference.

Use it to:

Retrieve
similar journeys by searching FastPath embeddings in a vector index
Discover
behavioral patterns by clustering embeddings across your population
Predict
what happens next by feeding embeddings into downstream models for churn, risk, or anomaly detection

How to use it 🛠️

Call FastPath through the GDS Python Client (version 2.0 and later) or the Cypher API, same as any other GDS algorithm:

Python:

gds.fast_path.mutate(
    G,
    base_node_label="Customer",
    event_node_label="Event",
    mutate_property="journeyEmbedding",
    embedding_dimension=128
)

Cypher:

CALL gds.fastPath.mutate('journeyGraph', {
  baseNodeLabel: 'Customer',
  eventNodeLabel: 'Event',
  mutateProperty: 'journeyEmbedding',
  embeddingDimension: 128
})

Full details are in the FastPath docs.