Alexander M. Bronstein

SGR: Self-Supervised Spectral Graph Representation Learning

2018 · arXiv (Cornell University)

Representing a graph as a vector is a challenging task; ideally, the representation should be easily computable and conducive to efficient comparisons among graphs, tailored to the particular data and analytical task at hand. Unfortunately, …