Generative Graph Convolutional Network for Growing Graphs

no code implementations • 6 Mar 2019 • Da Xu, Chuanwei Ruan, Kamiya Motwani, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Here we propose a unified generative graph convolutional network that learns node representations for all nodes adaptively in a generative model framework, by sampling graph generation sequences constructed from observed graph data.

Graph Generation Graph Reconstruction +1

Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures

no code implementations • NeurIPS 2010 • Kamiya Motwani, Nagesh Adluru, Chris Hinrichs, Andrew Alexander, Vikas Singh

Now, given such a representation, the problem reduces to segmenting new brain image with additional constraints that enforce consistency between the segmented foreground and the pre-specified histogram over features.

Image Segmentation Segmentation +1