Scholar
Anton Tsitsulin
Google Scholar ID: hssTYQMAAAAJ
Research Scientist, Google Research
Citations & Impact
Citations
7,122
H-index
20
i10-index
23
Publications
20
Co-authors
32
list available
Publications
Cited
0
Resume (English only)
Academic Achievements
- Published multiple papers including 'Graph Clustering with Graph Neural Networks' (JMLR 2023), 'InstantEmbedding: Efficient Local Node Representations', 'FREDE: Anytime Graph Embeddings' (VLDB 2021), 'The Shape of Data: Intrinsic Distance for Data Distributions' (ICLR 2020), 'Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs' (WWW 2020) & 'NetLSD: hearing the shape of a graph' (KDD 2018, Audience appreciation award runner up).
Research Experience
- Currently working at Google Research in NYC, focusing on the intersection of graph algorithms and machine learning.
Education
- Ph.D. from the University of Bonn, advised by Prof. Emmanuel Müller; M.Sc. from Skoltech, B.Sc. from Higher School of Economics, both in Moscow, Russia, with M.Sc. advisor Panagiotis Karras.
Background
- Senior Research Scientist, mainly working on scalable & principled graph machine learning methods, methods & tools for understanding unsupervised learning, and data for Gemini and Gemma model families.
Miscellany
- His name in Russian reads as Антон Цицулин.
