INTERTWINED-GNN: A GRAPH NEURAL NETWORK FOR LEARNING EMBEDDINGS ON HETEROGENEOUS GRAPHS
Number of patents in Portfolio can not be more than 2000
United States of America
Stats
-
N/A
Issued Date -
Apr 3, 2025
app pub date -
Sep 29, 2023
filing date -
Sep 29, 2023
priority date (Note) -
Published
status (Latency Note)
Importance
Abstract
In an embodiment, a computer hosts and operates an input neural layer of an artificial neural network that generates, based on all of the features of a first vertex of a first vertex type in a graph, an embedding of the first vertex. The embedding of the first vertex has a predefined size that does not depend on the first vertex type. The input neural layer generates, based on all of the features of a first edge of a first edge type in the graph, an embedding of the first edge. A subsequent neural layer of the artificial neural network generates an embedding of a second vertex of a second vertex type in the graph, and this generating is based on: the embedding of the first vertex and all of the features of the second vertex, including a particular feature that is not a feature of the first vertex type.
First Claim
Family
International Classification(s)
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully