Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
Home › Distributed multi-hop neighborhood extraction for graph machine-learning via push-lazy-push-traversal

Distributed multi-hop neighborhood extraction for graph machine-learning via push-lazy-push-traversal

US Patent 12361068 · Granted Jul 15, 2025

Assignee

Inventors

View full patent text on Google Patents →

More Patents by These Inventors

Shortest and cheapest paths in distributed asynchronous graph traversals2025
Shortest and cheapest paths in distributed asynchronous graph traversals2025
Shortest and cheapest paths in distributed asynchronous graph traversals2025
Estimating graph size and memory consumption of distributed graph for efficient 2025
Estimating graph size and memory consumption of distributed graph for efficient 2025
Estimating graph size and memory consumption of distributed graph for efficient 2025
Method of distributed graph loading for minimal communication and good balance v2025
Efficient, in-memory, relational representation for heterogeneous graphs2025
Efficient, in-memory, relational representation for heterogeneous graphs2025
Subqueries in distributed asynchronous graph queries2025
Subqueries in distributed asynchronous graph queries2025
In-memory processing of unbounded recursive graph queries in relational database2025