[Example][Minor] Update README/requirements from sklearn -> scikit-learn (#5792)

examples/pytorch/GATNE-T/requirements.txt

 tqdm
 numpy
-sklearn
+scikit-learn
 networkx
 gensim
 requests

examples/pytorch/GNN-FiLM/README.md

@@ -12,7 +12,7 @@ This example was implemented by [Kounianhua Du](https://github.com/KounianhuaDu)
 Dependencies
 ----------------------
 - numpy 1.19.4
-- sklearn 0.22.1
+- scikit-learn 0.22.1
 - pytorch 1.4.0
 - dgl 0.5.3
 

examples/pytorch/TAHIN/readme.md

@@ -10,7 +10,7 @@ Dependencies
 ----------------------
 - pytorch 1.7.1
 - dgl 0.6.0
-- sklearn 0.22.1
+- scikit-learn 0.22.1
 
 Datasets
 ---------------------------------------

examples/pytorch/cluster_gcn/README.md

@@ -9,7 +9,7 @@ Dependencies
 ------------
 - Python 3.7+(for string formatting features)
 - PyTorch 1.9.0+
-- sklearn
+- scikit-learn
 - TorchMetrics 0.11.4
 
 ## Run Experiments

examples/pytorch/gatv2/README.md

@@ -9,7 +9,7 @@ Dependencies
 ------------
 - torch
 - requests
-- sklearn
+- scikit-learn
 
 How to run
 ----------

examples/pytorch/gin/README.md

@@ -6,11 +6,11 @@ Graph Isomorphism Network (GIN)
 
 Dependencies
 ------------
-- sklearn
+- scikit-learn
 
 Install as follows:
 ```bash
-pip install sklearn
+pip install scikit-learn
 ```
 
 How to run

examples/pytorch/grace/README.md

@@ -12,7 +12,7 @@ This example was implemented by [Hengrui Zhang](https://github.com/hengruizhang9
 - Python 3.7
 - PyTorch 1.7.1
 - dgl 0.6.0
-- sklearn 0.22.1
+- scikit-learn 0.22.1
 
 ## Datasets
 

examples/pytorch/ogb/seal_ogbl/README.md

@@ -6,7 +6,7 @@ This is an example of implementing [SEAL](https://arxiv.org/pdf/2010.16103.pdf)
 
 Requirements
 ------------
-[PyTorch](https://pytorch.org/), [DGL](https://www.dgl.ai/), [OGB](https://ogb.stanford.edu/docs/home/), and other python libraries: numpy, scipy, tqdm, sklearn, etc.
+[PyTorch](https://pytorch.org/), [DGL](https://www.dgl.ai/), [OGB](https://ogb.stanford.edu/docs/home/), and other python libraries: numpy, scipy, tqdm, scikit-learn, etc.
 
 Usages
 ------

examples/pytorch/stgcn_wave/README.md

@@ -6,7 +6,7 @@ Spatio-Temporal Graph Convolutional Networks
 - See [this blog](https://towardsdatascience.com/build-your-first-graph-neural-network-model-to-predict-traffic-speed-in-20-minutes-b593f8f838e5) for more details about running the code.
 - Dependencies
   - PyTorch 1.1.0+
-  - sklearn
+  - scikit-learn
   - dgl
   - tables