Fixed PolBlogs dataset expected data format (#6715)

Fixed issue #6714

Co-authored-by: Bernardo Marenco <bmarenco@fing.edu.uy>
Co-authored-by: Matthias Fey <matthias.fey@tu-dortmund.de>

CHANGELOG.md

@@ -6,6 +6,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 ## [2.3.0] - 2023-MM-DD
 
 ### Added
+
+- Fixed expected data format in `PolBlogs` dataset ([#6714](https://github.com/pyg-team/pytorch_geometric/issues/6714))
 - Added `SimpleConv` to perform non-trainable propagation ([#6718](https://github.com/pyg-team/pytorch_geometric/pull/6718))
 - Added a `RemoveDuplicatedEdges` transform ([#6709](https://github.com/pyg-team/pytorch_geometric/pull/6709))
 - Added TorchScript support to the `LINKX` model ([#6712](https://github.com/pyg-team/pytorch_geometric/pull/6712))

torch_geometric/datasets/polblogs.py

@@ -59,7 +59,7 @@ def __init__(self, root: str, transform: Optional[Callable] = None,
 
     @property
     def raw_file_names(self) -> List[str]:
-        return ['adjacency.csv', 'labels.csv']
+        return ['adjacency.tsv', 'labels.tsv']
 
     @property
     def processed_file_names(self) -> str:
@@ -73,10 +73,11 @@ def download(self):
     def process(self):
         import pandas as pd
 
-        edge_index = pd.read_csv(self.raw_paths[0], header=None)
+        edge_index = pd.read_csv(self.raw_paths[0], header=None, sep='\t',
+                                 usecols=[0, 1])
         edge_index = torch.from_numpy(edge_index.values).t().contiguous()
 
-        y = pd.read_csv(self.raw_paths[1], header=None)
+        y = pd.read_csv(self.raw_paths[1], header=None, sep='\t')
         y = torch.from_numpy(y.values).view(-1)
 
         data = Data(edge_index=edge_index, y=y, num_nodes=y.size(0))