GRAPH REDUCTION FOR EXPLAINABLE ARTIFICIAL INTELLIGENCE
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United States of America Patent
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Issued Date -
Sep 5, 2024
app pub date -
Mar 3, 2023
filing date -
Mar 3, 2023
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status (Latency Note)
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Abstract
In an embodiment, operations include receiving a graph representative of a domain. The operations further include extracting first sub-graphs from the graph and reducing each first sub-graph to obtain a set of reduced sub-graphs. The operations further include executing a set of operations comprising: determining a closest reduced sub-graph, from the set of reduced sub-graphs, corresponding to each first sub-graph; determining coverage metrics based on the extracted first sub-graphs and the closest reduced sub-graph corresponding to each first sub-graph; determining whether the coverage metrics satisfy coverage conditions; and re-iterating reduction of the extracted first sub-graphs if the coverage metrics do not satisfy the coverage conditions. The operations further include obtaining second sub-graphs from the closest reduced sub-graph corresponding to each first sub-graph based on repetition of the first set of operations until the coverage metrics satisfy the coverage conditions and training an explainable prediction model based on the second sub-graphs.
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