Merge branch 'develop'

README.md

@@ -30,7 +30,7 @@
   - `vision` data:
     - **image classification** (e.g., [ResNet](https://arxiv.org/abs/1512.03385), [Wide ResNet](https://arxiv.org/abs/1605.07146), [Inception](https://www.cs.unc.edu/~wliu/papers/GoogLeNet.pdf)) <sub><sup>[[example notebook](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/master/examples/vision/dogs_vs_cats-ResNet50.ipynb)]</sup></sub>
   - `graph` data:
-    - **graph node classification** (e.g., [GraphSAGE](https://cs.stanford.edu/people/jure/pubs/graphsage-nips17.pdf)) <sub><sup>[[example notebook](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/master/examples/graphs/pubmed-GraphSAGE.ipynb)]</sup></sub>
+    - **graph node classification** with graph neural networks (e.g., [GraphSAGE](https://cs.stanford.edu/people/jure/pubs/graphsage-nips17.pdf)) <sub><sup>[[example notebook](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/master/examples/graphs/pubmed-GraphSAGE.ipynb)]</sup></sub>
 - perform multilingual text classification (e.g., [Chinese Sentiment Analysis with BERT](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/master/examples/text/ChineseHotelReviews-BERT.ipynb), [Arabic Sentiment Analysis with NBSVM](https://nbviewer.jupyter.org/github/amaiya/ktrain/blob/master/examples/text/ArabicHotelReviews-nbsvm.ipynb))
 - load and preprocess text and image data from a variety of formats 
 - inspect data points that were misclassified and [provide explanations](https://eli5.readthedocs.io/en/latest/) to help improve your model