Anton Tsitsulin
Anton Tsitsulin
Research Scientist, Google
Verified email at - Homepage
Cited by
Cited by
VERSE: Versatile Graph Embeddings from Similarity Measures
A Tsitsulin, D Mottin, P Karras, E Müller
World Wide Web Conference, 539-548, 2018
NetLSD: hearing the shape of a graph
A Tsitsulin, D Mottin, P Karras, A Bronstein, E Müller
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Graph Clustering with Graph Neural Networks
A Tsitsulin, J Palowitch, B Perozzi, E Müller
arXiv preprint arXiv:2006.16904, 2020
The Shape of Data: Intrinsic Distance for Data Distributions
A Tsitsulin, M Munkhoeva, D Mottin, P Karras, A Bronstein, I Oseledets, ...
ICLR 2020: Proceedings of the International Conference on Learning …, 2020
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs
A Tsitsulin, M Munkhoeva, B Perozzi
Proceedings of The Web Conference 2020, 2697-2703, 2020
FREDE: Anytime graph embeddings
A Tsitsulin, M Munkhoeva, D Mottin, P Karras, IV Oseledets, E Müller
Proceedings of the VLDB Endowment 14 (6), 1102-1110, 2021
GraphWorld: Fake Graphs Bring Real Insights for GNNs
J Palowitch, A Tsitsulin, B Mayer, B Perozzi
arXiv preprint arXiv:2203.00112, 2022
InstantEmbedding: Efficient Local Node Representations
Ş Postăvaru, A Tsitsulin, FMG de Almeida, Y Tian, S Lattanzi, B Perozzi
arXiv preprint arXiv:2010.06992, 2020
GRASP: Graph Alignment through Spectral Signatures
J Hermanns, A Tsitsulin, M Munkhoeva, A Bronstein, D Mottin, P Karras
Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2021
SGR: Self-Supervised Spectral Graph Representation Learning
A Tsitsulin, D Mottin, P Karras, A Bronstein, E Müller
arXiv preprint arXiv:1811.06237, 2018
Synthetic Graph Generation to Benchmark Graph Learning
A Tsitsulin, B Rozemberczki, J Palowitch, B Perozzi
arXiv preprint arXiv:2204.01376, 2022
Spectral Graph Complexity
A Tsitsulin, D Mottin, P Karras, A Bronstein, E Müller
Companion Proceedings of The 2019 World Wide Web Conference, 308-309, 2019
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
A Epasto, V Mirrokni, B Perozzi, A Tsitsulin, P Zhong
arXiv preprint arXiv:2207.06944, 2022
TF-GNN: Graph Neural Networks in TensorFlow
O Ferludin, A Eigenwillig, M Blais, D Zelle, J Pfeifer, A Sanchez-Gonzalez, ...
arXiv preprint arXiv:2207.03522, 2022
Tackling Provably Hard Representative Selection via Graph Neural Networks
SM Kazemi, A Tsitsulin, H Esfandiari, MH Bateni, D Ramachandran, ...
arXiv preprint arXiv:2205.10403, 2022
GRASP: Scalable Graph Alignment by Spectral Corresponding Functions
J Hermanns, K Skitsas, A Tsitsulin, M Munkhoeva, AF Kyster, SD Nielsen, ...
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Similarities and Representations of Graph Structures
A Tsitsulin
University of Bonn, 2021
Robust Synthetic GNN Benchmarks with GraphWorld
J Palowitch, A Tsitsulin, B Mayer, B Perozzi
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