Lucas G. S. Jeub

Local2Global: Scaling global representation learning on graphs via local training

2021 · arXiv (Cornell University)

We propose a decentralised "local2global" approach to graph representation learning, that one can a-priori use to scale any embedding technique. Our local2global approach proceeds by first dividing the input graph into overlapping subgraphs (or "patches") …