COMPUTER SYSTEMS AND METHODS FOR BUILDING AND ANALYZING DATA GRAPHS

A computing platform may be configured to (i) obtain an input dataset, (ii) construct a graph from the input dataset, (iii) for a given node within the constructed graph, generate a first type of embedding vector using a first embedding technique (e.g., a shallow embedding technique) and a second ty...

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Hauptverfasser: Golgoon, Ashkan, Kannan, Arjun Ravi, Fernandes, Kenrick
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creator Golgoon, Ashkan
Kannan, Arjun Ravi
Fernandes, Kenrick
description A computing platform may be configured to (i) obtain an input dataset, (ii) construct a graph from the input dataset, (iii) for a given node within the constructed graph, generate a first type of embedding vector using a first embedding technique (e.g., a shallow embedding technique) and a second type of embedding vector using a second embedding technique that differs from the first embedding technique (e.g., a deep embedding technique), and (iv) use the first and second types of embedding vectors for the given node and a data science model to render a given prediction for the given node.
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title COMPUTER SYSTEMS AND METHODS FOR BUILDING AND ANALYZING DATA GRAPHS
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