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v4.5
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    English
    v4.5

      Struc2Vec Walk

      ✓ File Writeback ✕ Property Writeback ✓ Direct Return ✓ Stream Return ✕ Stats

      Overview

      The Struc2Vec Walk is a biased random walk. This is one of the crucial componments of the Struc2Vec framework, where the walk is performed in a constructed multilayer weighted graph rather than the original graph. Please refer to the Struc2Vec algorithm for the details.

      Syntax

      • Command:algo(random_walk_struc2vec)
      • Parameters:
      Name

      Type
      Spec
      Default
      Optional
      Description
      ids / uuids []_id / []_uuid / / Yes ID/UUID of nodes to start random walks; start from all nodes if not set
      walk_length int ≧1 1 Yes Depth of each walk, i.e., the number of nodes to visit
      walk_num int ≧1 1 Yes Number of walks to perform for each specified node
      k int [1, 10] / No Number of layers of the constructed multilayer weighted graph, which should not exceed the diameter of the original graph
      stay_probability float (0,1] / No The probability of walking in the current level
      limit int ≧-1 -1 Yes Number of results to return, -1 to return all results

      Example

      The example graph is as follows:

      File Writeback

      Spec
      Content
      Description
      filename _id,_id,... IDs of visited nodes
      algo(random_walk_struc2vec).params({
        walk_length: 5,
        walk_num: 1,
        k: 4,
        stay_probability: 0.8
      }).write({
        file:{
          filename: 'walks'
      }})
      

      Results: File walks

      J,G,I,G,
      I,H,I,H,G,
      H,G,H,I,H,
      G,H,I,G,
      F,G,H,I,H,
      E,C,B,C,
      D,C,E,F,G,
      C,E,C,A,C,
      B,A,D,E,
      A,B,A,D,
      

      Direct Return

      Alias Ordinal Type
      Description
      Columns
      0 []perWalk Array of UUIDs of visited nodes [_uuid, _uuid, ...]
      algo(random_walk_struc2vec).params({
        ids: ['J'],
        walk_length: 6,
        walk_num: 3,
        k: 4,
        stay_probability: 0.8
      }) as walks
      return walks
      

      Results: walks

      [10, 6, 3, 6]
      [10, 7, 6, 5, 6, 5]
      [10, 7, 10, 7, 6, 7]

      Stream Return

      Alias Ordinal Type
      Description
      Columns
      0 []perWalk Array of UUIDs of visited nodes [_uuid, _uuid, ...]
      algo(random_walk_struc2vec).params({
        ids: ['J'],
        walk_length: 6,
        walk_num: 30,
        k: 5,
        stay_probability: 0.7
      }).stream() as walks
      where size(walks) == 6
      return walks
      

      Results: walks

      [10, 7, 6, 5, 3, 4]
      [10, 7, 8, 7, 6, 5]
      [10, 7, 6, 4, 6, 7]
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