Heterogeneous graph clustering using a pointwise mutual information criterion

    公开(公告)号:US11843513B2

    公开(公告)日:2023-12-12

    申请号:US17799428

    申请日:2020-02-24

    Applicant: Google LLC

    CPC classification number: H04L41/142 H04L41/12

    Abstract: Systems and methods of enforcing policies in a computer environment for content distribution using pointwise mutual information (PMI) based clustering are provided. The system can maintain a network of nodes representing a plurality of assets. Upon detecting that an asset is associated with a policy label, the system can identify attributes of the asset and compute a PMI score indicating whether nodes of the network sharing the attributes belong to a single content source. Upon determining that the PMI score exceeds a predefined threshold value, the system can identify a cluster of nodes including the nodes sharing the attributes. The system can tag the cluster, for example, as being associated with a content source that is associated with the policy label.

    Heterogeneous Graph Clustering Using a Pointwise Mutual Information Criterion

    公开(公告)号:US20240089177A1

    公开(公告)日:2024-03-14

    申请号:US18497571

    申请日:2023-10-30

    Applicant: Google LLC

    CPC classification number: H04L41/142 H04L41/12

    Abstract: Systems and methods of enforcing policies in a computer environment for content distribution using pointwise mutual information (PMI) based clustering are provided. The system can maintain a network of nodes representing a plurality of assets. Upon detecting that an asset is associated with a policy label, the system can identify attributes of the asset and compute a PMI score indicating whether nodes of the network sharing the attributes belong to a single content source. Upon determining that the PMI score exceeds a predefined threshold value, the system can identify a cluster of nodes including the nodes sharing the attributes. The system can tag the cluster, for example, as being associated with a content source that is associated with the policy label.

    Heterogeneous Graph Clustering Using a Pointwise Mutual Information Criterion

    公开(公告)号:US20230080618A1

    公开(公告)日:2023-03-16

    申请号:US17799428

    申请日:2020-02-24

    Applicant: Google LLC

    Abstract: Systems and methods of enforcing policies in a computer environment for content distribution using pointwise mutual information (PMI) based clustering are provided. The system can maintain a network of nodes representing a plurality of assets. Upon detecting that an asset is associated with a policy label, the system can identify attributes of the asset and compute a PMI score indicating whether nodes of the network sharing the attributes belong to a single content source. Upon determining that the PMI score exceeds a predefined threshold value, the system can identify a cluster of nodes including the nodes sharing the attributes. The system can tag the cluster, for example, as being associated with a content source that is associated with the policy label.

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