no code implementations • 26 Jan 2023 • Alireza Hashemi, Hernan Makse
We extend the graph convolutional network method for deep learning on graph data to higher order in terms of neighboring nodes.
no code implementations • 11 Nov 2021 • Amirhossein Nazerian, Shirin Panahi, Ian Leifer, David Phillips, Hernan Makse, Francesco Sorrentino
For each pair of clusters, we distinguish between three different cases: Matryoshka Cluster Synchronization (when the range of the stability of the synchronous solution for one cluster is included in that of the other cluster), Partially Disjoint Cluster Synchronization (when the ranges of stability of the synchronous solutions partially overlap), and Complete Disjoint Cluster Synchronization (when the ranges of stability of the synchronous solutions do not overlap.)
