An Unpooling Layer for Graph Generation

Yinglong Guo, Dongmian Zou, Gilad Lerman

Abstract: We propose a novel and trainable graph unpooling layer for effective graph generation. The unpooling layer receives an input graph with features and outputs an enlarged graph with desired structure...