Update README in datasets

autogl/datasets/README.md

@@ -1,7 +1,7 @@
 
-Datasets are derived from CogDL
+Datasets are derived from PyG, OGB and CogDL.
 =================
-Autograph now supports the following benchmarks for different tasks:
+AutoGL now supports the following benchmarks for different tasks:
 - semi-supervised node classification: Cora, Citeseer, Pubmed, Amazon Computers\*, Amazon Photo\*, Coauthor CS\*, Coauthor Physics\*, Reddit （\*: using `utils.random_splits_mask_class` for splitting dataset is recommended.)
 
 
@@ -16,19 +16,32 @@ Autograph now supports the following benchmarks for different tasks:
 | Coauthor Physics | ✓ |    |  ✓  | ✓ |  ✓  |  ✓  |  |  |
 | Reddit | ✓ |    |  ✓  | ✓ |  ✓  |  ✓  |  | ✓ |
 
+
+- supervised graph classification: MUTAG, IMDB-B, IMDB-M, PROTEINS, COLLAB
+
+|  Dataset  |  PyG  |  CogDL  | x | y | edge_index | edge_attr | train/val/test node | train/val/test mask | adj|
+|  ----  |  ----  |  ----  |  ----  |  ----  |  ----  |  ----  |  ----  |  ----  |  ----  |
+| Mutag | ✓ |    |  ✓  | ✓ |  ✓  |  ✓  |  |    |    |
+| IMDB-B | ✓ |    |    | ✓ | ✓   |    |  |    |    |
+| IMDB-M | ✓ |    |    | ✓ | ✓   |    |  |    |    |
+| PROTEINS | ✓ |    |  ✓  | ✓ | ✓   |    |  |    |    |
+| COLLAB | ✓ |    |    | ✓ | ✓   |    |  |    |    |
+
+- node classification datasets from OGB: ogbn-products, ogbn-proteins, ogbn-arxiv, ogbn-papers100M and ogbn-mag.
+
+- graph classification datasets from OGB: ogbg-molhiv, ogbg-molpcba, ogbg-ppa and ogbg-code.
+
 ---
 
 TODO:
-Autograph now supports the following benchmarks for different tasks:
+In future version, AutoGL will support the following benchmarks for different tasks:
 - unsupervised node classification: PPI, Blogcatalog, Wikipedia
-- semi-supervised node classification: Cora, Citeseer, Pubmed
 - heterogeneous node classification: DBLP, ACM, IMDB
 - link prediction: PPI, Wikipedia, Blogcatalog
 - multiplex link prediction: Amazon, YouTube, Twitter
-- unsupervised graph classification: MUTAG, IMDB-B, IMDB-M, PROTEINS, COLLAB
-- supervised graph classification: MUTAG, IMDB-B, IMDB-M, PROTEINS, COLLAB
-
+- link prediction datasets from OGB: ogbl-ppa, ogbl-collab, ogbl-ddi, ogbl-citation, ogbl-wikikg and ogbl-biokg.
 
+<!--
 |  Dataset  |  PyG  |  CogDL  | x | y | edge_index | edge_attr | train/val/test node | train/val/test mask | adj|
 |  ----  |  ----  |  ----  |  ----  |  ----  |  ----  |  ----  |  ----  |  ----  |  ----  |
 |  ACM  |  |  ✓  |  ✓  | ✓ |  ✓  |    | ✓ |    | ✓ list |
@@ -41,27 +54,12 @@ Autograph now supports the following benchmarks for different tasks:
 | Amazon |  |  ✓  |    |  |    |    | ✓ data |    |    |
 | Twitter |  |  ✓  |    |  |    |    | ✓ data |    |    |
 | Youtube |  |  ✓  |    |  |    |    | ✓ data |    |    |
-| Cora | ✓ |    |  ✓  | ✓ |  ✓  |  ✓  |  | ✓ |    |
-| Citeseer | ✓ |    |  ✓  | ✓ |  ✓  |  ✓  |  | ✓ |    |
-| Pubmed | ✓ |    |  ✓  | ✓ |  ✓  |  ✓  |  | ✓ |    |
-| Reddit | ✓ |    |  ✓  | ✓ |  ✓  |  ✓  |  | ✓ |    |
-| Mutag | ✓ |    |  ✓  | ✓ |  ✓  |  ✓  |  |    |    |
-| IMDB-B | ✓ |    |    | ✓ | ✓   |    |  |    |    |
-| IMDB-M | ✓ |    |    | ✓ | ✓   |    |  |    |    |
-| PROTEINS | ✓ |    |  ✓  | ✓ | ✓   |    |  |    |    |
-| COLLAB | ✓ |    |    | ✓ | ✓   |    |  |    |    |
+| NCI1 | ✓ |    |  ✓  | ✓ |  ✓  |    |  |    |    |
+| NCI109 | ✓ |    |  ✓  | ✓ |  ✓  |    |  |    |    |
+| Enzyme | ✓ |    |  ✓  | ✓ |  ✓  |    |  |    |    |
 | Reddit-B | ✓ |    |    | ✓ | ✓   |    |  |    |    |
 | Reddit-Multi-5k | ✓ |    |    | ✓ | ✓   |    |  |    |    |
 | Reddit-Multi-12k | ✓ |    |    | ✓ | ✓   |    |  |    |    |
 | PTC-MR | ✓ |    |  ✓  | ✓ |  ✓  |  ✓  |  |    |    |
-| NCI1 | ✓ |    |  ✓  | ✓ |  ✓  |    |  |    |    |
-| NCI109 | ✓ |    |  ✓  | ✓ |  ✓  |    |  |    |    |
-| Enzyme | ✓ |    |  ✓  | ✓ |  ✓  |    |  |    |    |
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+-->