Can neural networks learn persistent homology features?

30 November 2020

Papers citing "Can neural networks learn persistent homology features?"

8 / 8 papers shown

Title
PI-Net: A Deep Learning Approach to Extract Topological Persistence Images Anirudh Som Hongjun Choi Karthikeyan N. Ramamurthy M. Buman Pavan Turaga 3DH 35 29 0 05 Jun 2019
Persistent homology detects curvature Peter Bubenik M. Hull Dhruv Patel Benjamin Whittle 70 69 0 30 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 62 1,073 0 11 May 2019
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 110 257 0 03 Nov 2018
Persistent homology machine learning for fingerprint classification Noah Giansiracusa Robert S. Giansiracusa Chul Moon 43 41 0 24 Nov 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 422 28,795 0 09 Sep 2016
Persistence Images: A Stable Vector Representation of Persistent Homology Henry Adams Sofya Chepushtanova Tegan H. Emerson Eric M. Hanson Michael Kirby Francis C. Motta R. Neville C. Peterson Patrick D. Shipman Lori Ziegelmeier 54 674 0 22 Jul 2015
Statistical topological data analysis using persistence landscapes Peter Bubenik 134 851 0 27 Jul 2012