The Graph convolutional Networks (GCN) with Persistent Homology and its application 1/4

(1) GCN and its Application.
We introduce the GCN by reviewing the monumental paper ” Semi-Supervised Classification with the Graph Convolutional Networks”, ICLR 2018 by Kipf and Welling. We are going to much detail the algorithm of message aggregation and passings and learning processes.
Code ; https://github.com/tkipf/gcn

(2) Graph Attention networks(GAT) and its Applications. Bengio et al improved greatly the capability of GCN by employing the Attention mechanism to GCN on the paper,” Graph Attention Networks, ICLR,2018. We review closely the derivation of algirithms, learning processes and discuss its super performance.
Code; https://github.com/PetarV-/GAT