init commit

Author: KimMeen

.DS_Store

@@ -1,2 +1,43 @@
 # MERIT
-A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning"
+
+<img src="./merit.png" width="200">
+
+A PyTorch implementation of our IJCAI-21 paper [Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning](https://arxiv.org/abs/2105.05682).
+
+## Dependencies
++ Python (>=3.6)
++ PyTorch (>=1.7.1)
++ NumPy (>=1.19.2)
++ Scikit-Learn (>=0.24.1)
++ Scipy (>=1.6.1)
++ Networkx (>=2.5)
+
+To install all dependencies:
+```
+pip install -r requirements.txt
+```
+
+## Usage
+Here we provide the implementation of MERIT along with Cora and Citeseer dataset.
+
+To train and evaluate on Cora:
+```
+python run_cora.py
+```
+
+To train and evaluate on Citeseer:
+```
+python run_citeseer.py
+```
+
+## Citation
+If you use our code in your research, please cite the following article:
+```
+@inproceedings{Jin2021MultiScaleCS,
+  title={Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning},
+  author={Ming Jin and Yizhen Zheng and Yuan-Fang Li and Chen Gong and Chuan Zhou and Shirui Pan},
+  booktitle={The 30th International Joint Conference on Artificial Intelligence (IJCAI)}
+  year={2021}
+  url={https://arxiv.org/abs/2105.05682}
+}
+```