MeshCNN provides specialized neural network layers that operate directly on mesh edges for 3D shape classification and segmentation. The framework implements convolution, pooling, and unpooling operations tailored for triangular mesh data, enabling end-to-end learning on 3D geometric shapes without converting to intermediate representations.