TRAINING A NEURAL NETWORK TO CREATE AN EMBEDDING FOR AN UNLABELED VERTEX IN A HYPERGRAPH

Patent №

US 11,640,529

Granted

2023-05-02

Filed 2020

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16792277

A method creates an embedding for an unlabeled vertex in a hypergraph. The method includes receiving a hypergraph of hyperedges, where each of the hyperedges includes one or more vertices, and at least one of the hyperedges includes an unlabeled vertex; generating a hypergraph of vertices from the hypergraph of hyperedges, where each of the vertices in the hypergraph of vertices includes one or more of the one or more hyperedges from the hypergraph of hyperedges; performing a first type of random walk through the hypergraph of hyperedges; performing a second type of random walk through the hypergraph of vertices; generating a set of vertex embeddings from the first type of random walk and a set of hyperedge embeddings from the second type of random walk; and using results of the first and second random walks to train a neural network to create an embedding for the unlabeled vertex.

Machine learningNatural languageVisionKnowledge representationPlanningAI hardwareG06N 3/08G06N 3/04G06N 3/045G06N 3/0499G06N 3/0895G06N 3/09G06N 3/092G06N 3/096+1 more

AI classification

Machine learning1.00
Vision1.00
AI hardware1.00
Knowledge representation0.99
Planning0.92
Natural language0.65
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 518280215

Assignors

PAYNE, JOSHUA, NATARAJAN, ARJUN

On an employer assignment, the assignors are typically the inventors.

From the same owner

© 2026 NYSGPT2525 LLC