Update train config for papers100M to include features, make missing …

…feature message more descriptive. (#1151)

*Issue #, if available:*

*Description of changes:*


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python/graphstorm/dataloading/dataset.py

@@ -295,9 +295,11 @@ def _check_node_feats(self, node_feat_field):
                                 "or a dictionary of list of strings, " \
                                 f"but get {node_feat_field}")
             for feat_name in feat_names:
-                assert feat_name in g.nodes[ntype].data, \
-                    f"Warning. The feature \"{feat_name}\" " \
-                    f"does not exists for the node type \"{ntype}\"."
+                assert feat_name in g.nodes[ntype].data, (
+                    f"The feature \"{feat_name}\" "
+                    f"does not exist for the node type \"{ntype}\"."
+                    f"Data available for \"{ntype}\": {g.nodes[ntype].data.keys()}"
+                )
 
     def has_node_feats(self, ntype):
         """ Test if the specified node type has features.

training_scripts/gsgnn_np/papers100M_nc.yaml

@@ -47,3 +47,5 @@ gsf:
     label_field: "label"
     multilabel: false
     num_classes: 172
+    node_feat_name:
+      - "paper:paper_feat,paper_year"