Abstract Systems and methods for efficiently training a machine learning model are
presented. More particularly, using information regarding the relevant neighborhoods of …

US11232152B2 - Efficient processing of neighborhood data - Google Patents
US11232152B2 - Efficient processing of neighborhood data - Google Patents Efficient …

A node in a distributed computing environment can generate key-value pairs. The node can
categorize the key-value pairs into bins, with each key-value pair being categorized into a …

Systems and methods for generating embeddings for nodes of a corpus graph are
presented. More particularly, opera tions for generation of an aggregated embedding vector …

In various embodiments, a method of transferring data between datacenters may be
performed. The method may include running a first plurality of host programs and a first …

Systems and methods for generating embeddings for nodes of a corpus graph are
presented. More particularly, embed ding information of a target node may be based on the …

US11227012B2 - Efficient generation of embedding vectors of nodes in a corpus graph -
Google Patents US11227012B2 - Efficient generation of embedding vectors of nodes in a …

A permutation algorithm using modular arithmetic is applied to the cells of one or more
specific fields of a database or other file type. This permutation reorders the cells of the …

Generally, systems and methods for securely establishing data transfer, storage, and
execution are presented. The system may comprise a computing device that comprises at …

Abstract Systems and methods for generating embeddings for nodes of a corpus graph are
presented. More particularly, operations for generation of an aggregated embedding vector …