
DGCNN: Dynamic Graph CNN for Point Cloud Learning
DGCNN introduces the EdgeConv operator, which constructs k-nearest neighbor graphs dynamically in feature space at each network layer. This enables the model to capture both local geometry and long-range semantic relationships for point cloud classification and segmentation.



