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-dgcnn
+## Dynamic Graph CNN for Learning on Point Clouds
+This is the implementation of DGCNN and heavily based on PointNet <a href="https://github.com/charlesq34/pointnet" target="_blank">
+
+### Classification
+1. python train.py
+2. After training finishes, python evalutate.py
+
+### Citation
+Please cite this paper if you want to use it in your work,
+
+	@article{dgcnn,
+	  title={Dynamic Graph CNN for Learning on Point Clouds},
+	  author={Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, Justin M. Solomon},
+	  journal={arXiv preprint arXiv:1801.07829},
+	  year={2018}
+	}