[Example] Update README file of eges example (#4220)

examples/pytorch/eges/README.md

 # DGL & Pytorch implementation of Enhanced Graph Embedding with Side information (EGES)
-
-## Version
-dgl==0.6.1, torch==1.9.0
-
-## Paper
-Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba: 
-
-https://arxiv.org/pdf/1803.02349.pdf
-
-https://arxiv.org/abs/1803.02349
+Paper link: https://arxiv.org/pdf/1803.02349.pdf
+Reference code repo: (https://github.com/wangzhegeek/EGES.git)
 
 ## How to run
-Create folder named `data`. Download two csv files from [here](https://github.com/Wang-Yu-Qing/dgl_data/tree/master/eges_data) into the `data` folder.
 
-Run command: `python main.py` with default configuration, and the following message will shown up:
+- Create a folder named `data`.
+`mkdir data`
+- Download csv data
+`wget https://raw.githubusercontent.com/Wang-Yu-Qing/dgl_data/master/eges_data/action_head.csv -P data/`
+`wget https://raw.githubusercontent.com/Wang-Yu-Qing/dgl_data/master/eges_data/jdata_product.csv -P data/`
+- Run with the following command (with default configuration)
+`python main.py`
 
+## Result
 ```
-Using backend: pytorch
-Num skus: 33344, num brands: 3662, num shops: 4785, num cates: 79
-Epoch 00000 | Step 00000 | Step Loss 0.9117 | Epoch Avg Loss: 0.9117
-Epoch 00000 | Step 00100 | Step Loss 0.8736 | Epoch Avg Loss: 0.8801
-Epoch 00000 | Step 00200 | Step Loss 0.8975 | Epoch Avg Loss: 0.8785
-Evaluate link prediction AUC: 0.6864
-Epoch 00001 | Step 00000 | Step Loss 0.8695 | Epoch Avg Loss: 0.8695
-Epoch 00001 | Step 00100 | Step Loss 0.8290 | Epoch Avg Loss: 0.8643
-Epoch 00001 | Step 00200 | Step Loss 0.8012 | Epoch Avg Loss: 0.8604
-Evaluate link prediction AUC: 0.6875
-...
-Epoch 00029 | Step 00000 | Step Loss 0.7095 | Epoch Avg Loss: 0.7095
-Epoch 00029 | Step 00100 | Step Loss 0.7248 | Epoch Avg Loss: 0.7139
-Epoch 00029 | Step 00200 | Step Loss 0.7123 | Epoch Avg Loss: 0.7134
 Evaluate link prediction AUC: 0.7084
 ```
-
-The AUC of link-prediction task on test graph is computed after each epoch is done.
-
-## Reference
-https://github.com/nonva/eges
-
-https://github.com/wangzhegeek/EGES.git