[Fix] typo (#2265)

* upd

* upd

* upd

* upd

* upd

* fix OpenMP compatibility issues

* typo

* partition

* misc

* fix typo

* num_parts=1

* import torch

* long

* print info

* print info

* print info

* upd

* remove debug code

* revert partition.py

* fix cut count

* fix cut count

* Revert "fix cut count"

This reverts commit 10926b4fd48f45c8f1ddb58be7db6c22e653effd.

* Revert "fix cut count"

This reverts commit 76465283bef093a2b4209ad70dd15d2437b2ec8a.

* type of deprecate

* typo in deprecate info

* fix typo

* use cv for partitioning

* CE

* no message

* revert

* typo

* no message

* no message

* no message

* practice

* dmlc-core

* DGLGraph
Co-authored-by: yzh119 <expye@outlook.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

examples/pytorch/cluster_gcn/cluster_gcn.py

@@ -184,7 +184,7 @@ if __name__ == '__main__':
     parser.add_argument("--n-epochs", type=int, default=200,
                         help="number of training epochs")
     parser.add_argument("--log-every", type=int, default=100,
-                        help="number of training epochs")
+                        help="the frequency to save model")
     parser.add_argument("--batch-size", type=int, default=20,
                         help="batch size")
     parser.add_argument("--psize", type=int, default=1500,
@@ -202,7 +202,7 @@ if __name__ == '__main__':
     parser.add_argument("--self-loop", action='store_true',
                         help="graph self-loop (default=False)")
     parser.add_argument("--use-pp", action='store_true',
-                        help="whether to use percomputation")
+                        help="whether to use precomputation")
     parser.add_argument("--normalize", action='store_true',
                         help="whether to use normalized feature")
     parser.add_argument("--use-val", action='store_true',

examples/pytorch/ogb/ogbn-products/gat/main.py

@@ -230,7 +230,7 @@ if __name__ == '__main__':
     else:
         device = th.device('cpu')
 
-    # load reddit data
+    # load data
     data = DglNodePropPredDataset(name='ogbn-products')
     splitted_idx = data.get_idx_split()
     train_idx, val_idx, test_idx = splitted_idx['train'], splitted_idx['valid'], splitted_idx['test']

python/dgl/data/citation_graph.py

@@ -224,7 +224,7 @@ class CitationGraphDataset(DGLBuiltinDataset):
     """
     @property
     def graph(self):
-        deprecate_property('dataset.graph', 'dataset.g')
+        deprecate_property('dataset.graph', 'dataset[0]')
         return self._graph
 
     @property