Fast Partitioning for Distributed Graph Learning using Multi-level Label Propagation

Graph Neural Networks (GNNs) are a popular class of machine learning models that allow scientists to leverage machine learning techniques to perform inference on unstructured data. However, when graphs become too large, partitioning becomes necessary to allow for distributed computation. Standard gr...

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Bibliographic Details
Main Author: Alkhafaji, Yaseen
Other Authors: Leiserson, Charles E.
Format: Thesis
Published: Massachusetts Institute of Technology 2024
Online Access:https://hdl.handle.net/1721.1/153893