Using AI tools to improve commenting of base G-retriever example

examples/llm/g_retriever.py

@@ -149,8 +149,15 @@ def get_loss(model, batch, model_save_name: str) -> Tensor:
         # For LLM models, compute the loss using the question, label, and desc inputs
         return model(batch.question, batch.label, batch.desc)
     else: # (GNN+LLM)
-        return model(batch.question, batch.x, batch.edge_index, batch.batch,
-                     batch.label, batch.edge_attr, batch.desc)
+        return model(
+            batch.question,
+            batch.x,  # node features
+            batch.edge_index,  # edge indices
+            batch.batch,  # batch indices
+            batch.edge_attr,  # edge attributes
+            batch.label, # answers (labels)
+            batch.desc  # description
+        )
 
 
 def inference_step(model, batch, model_save_name):