Fix MoleculeGPTDataset paper link (#10457)

Author: xnuohz

torch_geometric/data/dataset.py

@@ -236,8 +236,8 @@ def has_process(self) -> bool:
 
     def _process(self):
         f = osp.join(self.processed_dir, 'pre_transform.pt')
-        if osp.exists(f) and torch.load(f, weights_only=False) != _repr(
-                self.pre_transform):
+        if not self.force_reload and osp.exists(f) and torch.load(
+                f, weights_only=False) != _repr(self.pre_transform):
             warnings.warn(
                 "The `pre_transform` argument differs from the one used in "
                 "the pre-processed version of this dataset. If you want to "
@@ -246,8 +246,8 @@ def _process(self):
                 stacklevel=2)
 
         f = osp.join(self.processed_dir, 'pre_filter.pt')
-        if osp.exists(f) and torch.load(f, weights_only=False) != _repr(
-                self.pre_filter):
+        if not self.force_reload and osp.exists(f) and torch.load(
+                f, weights_only=False) != _repr(self.pre_filter):
             warnings.warn(
                 "The `pre_filter` argument differs from the one used in "
                 "the pre-processed version of this dataset. If you want to "

torch_geometric/datasets/molecule_gpt_dataset.py

@@ -174,7 +174,7 @@ def extract_name(
 class MoleculeGPTDataset(InMemoryDataset):
     r"""The dataset from the `"MoleculeGPT: Instruction Following Large
     Language Models for Molecular Property Prediction"
-    <https://ai4d3.github.io/papers/34.pdf>`_ paper.
+    <https://ai4d3.github.io/2023/papers/34.pdf>`_ paper.
 
     Args:
         root (str): Root directory where the dataset should be saved.

torch_geometric/nn/models/basic_gnn.py

@@ -415,7 +415,8 @@ class GCN(BasicGNN):
             (default: :obj:`None`)
         jk (str, optional): The Jumping Knowledge mode. If specified, the model
             will additionally apply a final linear transformation to transform
-            node embeddings to the expected output feature dimensionality.
+            node embeddings to the expected output feature dimensionality,
+            while default will not.
             (:obj:`None`, :obj:`"last"`, :obj:`"cat"`, :obj:`"max"`,
             :obj:`"lstm"`). (default: :obj:`None`)
         **kwargs (optional): Additional arguments of