Xiaowen Dong

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") …

Graph Classification Gaussian Processes via Spectral Features

2023 · arXiv (Cornell University)

Graph classification aims to categorise graphs based on their structure and node attributes. In this work, we propose to tackle this task using tools from graph signal processing by deriving spectral features, which we then …