8.2.1 Loading a Graph

The following describes the steps for loading a graph:

1. Create a Session and an Analyst.
   • JShell
   • Java
   • Python

   cd /opt/oracle/graph/
   ./bin/opg4j
   // starting the shell will create an implicit session and analyst
   opg4j> import oracle.pgx.config.mllib.ActivationFunction
   opg4j> import oracle.pgx.config.mllib.WeightInitScheme
   opg4j> PgxSession session = Pgx.createSession("my-session")
   opg4j> Analyst analyst = session.createAnalyst()

   import oracle.pgx.api.*;
   import oracle.pgx.api.mllib.SupervisedGraphWiseModel;
   import oracle.pgx.api.frames.*;
   import oracle.pgx.config.mllib.ActivationFunction;
   import oracle.pgx.config.mllib.GraphWiseConvLayerConfig;
   import oracle.pgx.config.mllib.GraphWisePredictionLayerConfig;
   import oracle.pgx.config.mllib.SupervisedGraphWiseModelConfig;
   import oracle.pgx.config.mllib.WeightInitScheme;
   PgxSession session = Pgx.createSession("my-session");
   Analyst analyst = session.createAnalyst();

   session = pypgx.get_session(session_name="my-session")
   analyst = session.create_analyst()

2. Load the graph.
   • JShell
   • Java
   • Python

   opg4j> var fullGraph = session.readGraphWithProperties("<path>/<full_graph.json>")
   opg4j> var trainGraph = session.readGraphWithProperties("<path>/<train_graph.json>")
   opg4j> var testVertices = fullGraph.getVertices()
                   .stream()
                   .filter(v -> !trainGraph.hasVertex(v.getId()))
                   .collect(Collectors.toList())

   PgxGraph fullGraph = session.readGraphWithProperties("<path>/<full_graph.json>");
   PgxGraph trainGraph = session.readGraphWithProperties("<path>/<train_graph.json>");
   List<PgxVertex> testVertices = fullGraph.getVertices()
       .stream()
       .filter(v->!trainGraph.hasVertex(v.getId()))
       .collect(Collectors.toList());

   full_graph = session.read_graph_with_properties("<path>/<full_graph.json>")
   train_graph = session.read_graph_with_properties("<path>/<train_graph.json>")
   test_vertices = []
   train_vertices = train_graph.get_vertices()
   for v in full_graph.get_vertices():
       if(not train_vertices.contains(v)):
           test_vertices.append(v)