add mask to predict_only

autogl/module/train/link_prediction.py

@@ -243,11 +243,19 @@ class LinkPredictionTrainer(BaseLinkPredictionTrainer):
         res: The result of predicting on the given dataset.
 
         """
+        try:
+            mask = data.test_mask if test_mask is None else test_mask
+        except:
+            mask = None
         data = data.to(self.device)
         self.model.model.eval()
         with torch.no_grad():
-            z = self.model.model.lp_encode(data)
-        return z
+            res = self.model.model.lp_encode(data)
+
+        if mask is None:
+            return res
+        else:
+            return res[mask]
 
     def train(self, dataset, keep_valid_result=True):
         """