Fix GNN example and update installation instructions

examples/gnn_fraud_detection_pipeline/README.md

@@ -21,7 +21,7 @@ limitations under the License.
 Prior to running the gnn fruad detection pipeline, additional requirements must be installed in to your conda environment. A supplemental requirements file has been provided in this example directory.
 
 ```bash
-conda install --freeze-installed -c stellargraph stellargraph tensorflow
+conda install -c rapidsai -c nvidia -c stellargraph -c conda-forge cuml stellargraph tensorflow
 ```
 
 ## Running

examples/gnn_fraud_detection_pipeline/requirements.yml

@@ -14,7 +14,11 @@
 # limitations under the License.
 
 channels:
+    - rapidsai
+    - nvidia
     - stellargraph
+    - conda-forge
 dependencies:
+    - cuml
     - stellargraph
     - tensorflow

examples/gnn_fraud_detection_pipeline/stages/classification_stage.py

@@ -41,6 +41,9 @@ def name(self) -> str:
     def accepted_types(self) -> typing.Tuple:
         return (GraphSAGEMultiMessage, )
 
+    def supports_cpp_node():
+        return False
+
     def _process_message(self, message: GraphSAGEMultiMessage):
         ind_emb_columns = message.get_meta(message.inductive_embedding_column_names)
 

examples/gnn_fraud_detection_pipeline/stages/graph_construction_stage.py

@@ -48,6 +48,9 @@ def name(self) -> str:
     def accepted_types(self) -> typing.Tuple:
         return (MultiMessage, )
 
+    def supports_cpp_node():
+        return False
+
     @staticmethod
     def _graph_construction(nodes, edges, node_features) -> StellarGraph:
         g_nx = nx.Graph()

examples/gnn_fraud_detection_pipeline/stages/graph_sage_stage.py

@@ -59,6 +59,9 @@ def name(self) -> str:
     def accepted_types(self) -> typing.Tuple:
         return (FraudGraphMultiMessage, )
 
+    def supports_cpp_node():
+        return False
+
     def _inductive_step_hinsage(
         self,
         graph,