To my knowledge there's not a built in "task scheduler" in Neo4j. You can use existing scheduling programs like crontab to execute a script on a schedule.
Another idea is you could change it not to be time driven but event driven instead. You could have a database trigger to update aggregates when data changes. Or you could use the Kafka integration to publish an event that data has changed that would then start the process to come back down to update aggregates. Benefit of event driven workflow is you're not wasting compute cycles recalculating aggregates if nothing has changed since the last time.
