The Graph convolutional Networks (GCN) with Persistent Homology and its applications 3/4

Neural Networks with the Persistent Diagrams and Graph Classification. We introduce the first paper connecting persistent diagrams to the Neural Networks by Carrier et al,” A neural Network Layer for Persistent Diagrams and New Graph Topological Signatures, 2019, arXiv. We are going to analyse the End-to-End algorithm and learning processes and applications.
Code; tensorflow at https:// github.com/MathieuCarriere/perslay