15.2.1 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.filter.VertexFilter;
   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>/<cora_full_graph.json>")
   opg4j> var filter = VertexFilter.fromPgqlResultSet(session.queryPgql("SELECT v FROM cora MATCH (v) WHERE ID(v) % 4 > 0"), "v")
   opg4j> var trainGraph = fullGraph.filter(filter)
   opg4j> var testVertices = fullGraph.getVertices().
                    stream().
                    filter(v -> !trainGraph.hasVertex(v.getId())).
                    collect(Collectors.toList())

   PgxGraph fullGraph = session.readGraphWithProperties("<path>/<cora_full_graph.json>");
   VertexFilterfilter = VertexFilter.fromPgqlResultSet(session.queryPgql("SELECT v FROM cora MATCH (v) WHERE ID(v) % 4 > 0"),"v");PgxGraphtrainGraph=fullGraph.filter(filter);
   PgxGraph trainGraph = fullGraph.filter(filter);
   List<PgxVertex> testVertices = fullGraph.getVertices()
       .stream()
       .filter(v->!trainGraph.hasVertex(v.getId()))
       .collect(Collectors.toList());

   from pypgx.api.filters import VertexFilter
   full_graph = session.read_graph_with_properties("<path>/<cora_full_graph.json>")
   vertex_filter = VertexFilter.from_pgql_result_set(session.query_pgql("SELECT v FROM cora MATCH (v) WHERE ID(v) % 4 > 0"),"v")
   train_graph = full_graph.filter(vertex_filter)
   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)