15.4.1 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> var session = Pgx.createSession("my-session")
   opg4j> var analyst = session.createAnalyst()

   import oracle.pgx.api.*;
   import oracle.pgx.api.mllib.SupervisedEdgeWiseModel;
   import oracle.pgx.api.filter.EdgeFilter;
   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.SupervisedEdgeWiseModelConfig;
   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_to_movielens.json>")
   opg4j> var filter = EdgeFilter.fromPgqlResultSet(session.queryPgql("SELECT e FROM movielens MATCH (v1) -[e]-> (v2) WHERE ID(e) % 4 > 0"), "e")
   opg4j> var trainGraph = fullGraph.filter(filter)
   opg4j> var testEdges = fullGraph.getEdges().
                        stream().
                        filter(e -> !trainGraph.hasEdge(e.getId())).
                        collect(Collectors.toList())

   PgxGraph fullGraph = session.readGraphWithProperties("<path_to_movielens.json>");
   EdgeFilter filter = EdgeFilter.fromPgqlResultSet(session.queryPgql("SELECT e FROM movielens MATCH (v1) -[e]-> (v2) WHERE ID(e) % 4 > 0"), "e");
   PgxGraph trainGraph = fullGraph.filter(filter);
   List<PgxEdge> testEdges = fullGraph.getEdges()
                               .stream()
                               .filter(e -> !trainGraph.hasEdge(e.getId()))
                               .collect(Collectors.toList());

   from pypgx.api.filters import EdgeFilter
   full_graph = session.read_graph_with_properties("<path_to_movielens.json>")
   edge_filter = EdgeFilter.from_pgql_result_set(
       session.query_pgql("SELECT e FROM movielens MATCH (v1) -[e]-> (v2) WHERE ID(e) % 4 > 0"), "e"
   )
   train_graph = full_graph.filter(edge_filter)
   test_edges = []
   train_edges = train_graph.get_edges()
   for e in full_graph.get_edges():
       if(not train_edges.contains(e)):
           test_vertices.append(e)