[Tutorial] Update prerequisites of README (#380)

* Update prerequisites of README

* dependencies for pytorch models

* dependencies for mxnet models

* minor

examples/mxnet/gat/README.md

@@ -7,8 +7,17 @@ Graph Attention Networks (GAT)
 
 Note that the original code is implemented with Tensorflow for the paper.
 
+### Dependencies
+* MXNet nightly build
+* requests
 
-## Usage (make sure that DGLBACKEND is changed into mxnet)
+```bash
+pip install mxnet --pre
+pip install requests
+```
+
+
+### Usage (make sure that DGLBACKEND is changed into mxnet)
 ```bash
 DGLBACKEND=mxnet python gat_batch.py --dataset cora --gpu 0 --num-heads 8
 ```

examples/mxnet/gcn/README.md

@@ -4,11 +4,13 @@ Graph Convolutional Networks (GCN)
 Paper link: [https://arxiv.org/abs/1609.02907](https://arxiv.org/abs/1609.02907)
 Author's code repo: [https://github.com/tkipf/gcn](https://github.com/tkipf/gcn)
 
-Requirements
+Dependencies
 ------------
+- MXNet nightly build
 - requests
 
 ``bash
+pip install mxnet --pre
 pip install requests
 ``
 

examples/mxnet/rgcn/README.md

@@ -4,12 +4,19 @@
 * Author's code for entity classification: [https://github.com/tkipf/relational-gcn](https://github.com/tkipf/relational-gcn)
 * Author's code for link prediction: [https://github.com/MichSchli/RelationPrediction](https://github.com/MichSchli/RelationPrediction)
 
-### Prerequisites
+### Dependencies
 Two extra python packages are needed for this example: 
 
+- MXNet nightly build
+- requests
 - rdflib
 - pandas
 
+```bash
+pip install mxnet --pre
+pip install requests rdflib pandas
+```
+
 Example code was tested with rdflib 4.2.2 and pandas 0.23.4
 
 ### Entity Classification

examples/mxnet/sse/README.md

@@ -4,6 +4,16 @@ Benchmark SSE on multi-GPUs
 Paper link:
 [http://proceedings.mlr.press/v80/dai18a/dai18a.pdf](http://proceedings.mlr.press/v80/dai18a/dai18a.pdf)
 
+Dependencies
+-------------
+* MXNet nightly build
+* requests
+
+```bash
+pip install mxnet --pre
+pip install requests
+```
+
 Use a small embedding
 ---------------------
 

examples/mxnet/tree_lstm/README.md

@@ -6,6 +6,16 @@ This is a re-implementation of the following paper:
 
 The provided implementation can achieve a test accuracy of 51.72 which is comparable with the result reported in the original paper: 51.0(±0.5).
 
+## Dependencies
+* MXNet nightly build
+* requests
+* nltk
+
+```bash
+pip install mxnet --pre
+pip install requests nltk
+```
+
 ## Data
 The script will download the [SST dataset] (http://nlp.stanford.edu/sentiment/index.html) and the GloVe 840B.300d embedding automatically if `--use-glove` is specified (note: download may take a while).
 

examples/pytorch/capsule/README.md

@@ -4,7 +4,17 @@ DGL implementation of Capsule Network
 This repo implements Hinton and his team's [Capsule Network](https://arxiv.org/abs/1710.09829).
 Only margin loss is implemented, for simplicity to understand the DGL.
 
-## Training& Evaluation
+Dependencies
+--------------
+* PyTorch 0.4.1+
+* torchvision
+
+```bash
+pip install torch torchvision
+```
+
+Training & Evaluation
+----------------------
 ```bash
 # Run with default config
 python main.py

examples/pytorch/dgmg/README.md

@@ -3,7 +3,7 @@
 This is an implementation of [Learning Deep Generative Models of Graphs](https://arxiv.org/pdf/1803.03324.pdf) by 
 Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, Peter Battaglia. 
 
-## Dependency
+## Dependencies
 - Python 3.5.2
 - [Pytorch 0.4.1](https://pytorch.org/)
 - [Matplotlib 2.2.2](https://matplotlib.org/)

examples/pytorch/gat/README.md

@@ -7,7 +7,7 @@ Graph Attention Networks (GAT)
 - Popular pytorch implementation:
   [https://github.com/Diego999/pyGAT](https://github.com/Diego999/pyGAT).
 
-Requirements
+Dependencies
 ------------
 - torch v1.0: the autograd support for sparse mm is only available in v1.0.
 - requests

examples/pytorch/gcn/README.md

@@ -5,12 +5,13 @@ Graph Convolutional Networks (GCN)
 - Author's code repo: [https://github.com/tkipf/gcn](https://github.com/tkipf/gcn). Note that the original code is 
 implemented with Tensorflow for the paper. 
 
-Requirements
+Dependencies
 ------------
+- PyTorch 0.4.1+
 - requests
 
 ``bash
-pip install requests
+pip install torch requests
 ``
 
 Codes

examples/pytorch/jtnn/README.md

 Junction Tree VAE - example for training
-===
+==========================================
 
 This is a direct modification from https://github.com/wengong-jin/icml18-jtnn
 
-You need to have RDKit installed.
+Dependencies
+--------------
+* PyTorch 0.4.1+
+* RDKit
+* requests
+
+How to run
+-----------
 
 To run the model, use
 ```

examples/pytorch/line_graph/README.md

@@ -7,6 +7,18 @@ Author's code repo: [https://github.com/joanbruna/GNN_community](https://github.
 
 This folder contains a DGL implementation of the CDGNN model.
 
+Dependencies
+--------------
+* PyTorch 0.4.1+
+* requests
+
+```bash
+pip install torch requests
+```
+
+How to run
+----------
+
 An experiment on the Stochastic Block Model in default settings can be run with
 
 ```bash

examples/pytorch/rgcn/README.md

@@ -4,11 +4,15 @@
 * Author's code for entity classification: [https://github.com/tkipf/relational-gcn](https://github.com/tkipf/relational-gcn)
 * Author's code for link prediction: [https://github.com/MichSchli/RelationPrediction](https://github.com/MichSchli/RelationPrediction)
 
-### Prerequisites
-Two extra python packages are needed for this example: 
+### Dependencies
+* PyTorch 0.4.1+
+* requests
+* rdflib
+* pandas
 
-- rdflib
-- pandas
+```
+pip install requests torch rdflib pandas
+```
 
 Example code was tested with rdflib 4.2.2 and pandas 0.23.4
 

examples/pytorch/transformer/README.md

@@ -3,11 +3,12 @@ In this example we implement the [Transformer](https://arxiv.org/pdf/1706.03762.
 
 The folder contains training module and inferencing module (beam decoder) for Transformer and training module for Universal Transformer
 
-## Requirements
+## Dependencies
 
 - PyTorch 0.4.1+
 - networkx
 - tqdm
+- requests
 
 ## Usage
 

examples/pytorch/tree_lstm/README.md

@@ -13,6 +13,15 @@ wget http://nlp.stanford.edu/data/glove.840B.300d.zip
 unzip glove.840B.300d.zip
 ```
 
+## Dependencies
+* PyTorch 0.4.1+
+* requests
+* nltk
+
+```
+pip install torch requests nltk
+```
+
 ## Usage
 ```
 python train.py --gpu 0