Disentangling Interpretable Generative Parameters of Random and Real-World Graphs

12 October 2019

Papers citing "Disentangling Interpretable Generative Parameters of Random and Real-World Graphs"

4 / 4 papers shown

Title
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 26 145 0 13 Jul 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement Xiaojie Guo Liang Zhao Zhao Qin Lingfei Wu Amarda Shehu Yanfang Ye CoGe DRL 22 46 0 09 Jun 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations Jan Stühmer Richard E. Turner Sebastian Nowozin DRL BDL CoGe 76 25 0 05 Sep 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016