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v4.0
    v4.0

    GraphSAGE

      AI  

    Command

    algo(graph_sage_train).params(<>)

    Configuration Item Type Default Value Specification Description
    model_name string / / The model after being trained by the algorithm algo(graph_sage_train)
    model_task_id int / / Algorithm task ID where the model locates
    ids []_uuid (All nodes) / Nodes that need to do graph embedding
    node_property_names []@<schema>?.<property> (Read from the model) Node property, LTE needed The node property to be used for embedding
    edge_property_name @<schema>?.<property> (Read from the model) Numeric edge property, LTE needed Name of the property where the edge weight locates during random walk, schema can be either carried or not; edges without this property will not participate in the degree calculation
    search_depth int 5 >0 Maximum length of steps of random walk
    sample_size []int [25, 10] (Read from the model) Maximum number of samples per layer around the start node during random walk

    File Writeback

    (Not supported)

    Property Writeback

    .write({db: {<>}})

    Parameter Type Default Value Specification Description
    property_name string / / Name of the property to be written back. Write the result of graph embedding back to: _1, _2, ...

    Statistics Writeback

    (Not supported)

    Direct Return

    (Not supported)

    Streaming Return

    (Not supported)

    Real-time Statistics

    (Not supported)

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