Jonathan Halcrow
Jonathan received his Bachelor's in Math and Physics from Georgia Tech in 2003, then his PhD in Physics from Georgia Tech in 2008. In his PhD work, he studied turbulence in Plane Couette Flow.
At Google, his main interests are in graph algorithms for semi-supervised learning, how to optimize graph construction for particular learning tasks, and graph neural networks.
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Google
HUGE: Huge Unsupervised Graph Embeddings with TPUs
SIGKDD Conference on Knowledge Discovery and Data Mining, ACM (2023) (to appear)
Stars: Tera-Scale Graph Building for Clustering and Learning
Warren Schudy
NeurIPS 2022 (2022)
Grale: Designing Networks for Graph Learning
Alexandru Moșoi
Sam Ruth
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Association for Computing Machinery (2020), 2523–2532
