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Anton Tsitsulin
Anton Tsitsulin
Research Scientist, Google Research
Email yang diverifikasi di google.com - Beranda
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Dikutip oleh
Tahun
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
13052024
Gemma 2: Improving open language models at a practical size
G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ...
arXiv preprint arXiv:2408.00118, 2024
5672024
Graph clustering with graph neural networks
A Tsitsulin, J Palowitch, B Perozzi, E Müller
Journal of Machine Learning Research 24, 1-21, 2023
3582023
VERSE: Versatile Graph Embeddings from Similarity Measures
A Tsitsulin, D Mottin, P Karras, E Müller
World Wide Web Conference, 539-548, 2018
3492018
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
2092018
Graphworld: Fake graphs bring real insights for gnns
J Palowitch, A Tsitsulin, B Mayer, B Perozzi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
882022
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
B Perozzi, B Fatemi, D Zelle, A Tsitsulin, M Kazemi, R Al-Rfou, J Halcrow
arXiv preprint arXiv:2402.05862, 2024
712024
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
612020
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
472022
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
44*2021
Synthetic Graph Generation to Benchmark Graph Learning
A Tsitsulin, B Rozemberczki, J Palowitch, B Perozzi
arXiv preprint arXiv:2204.01376, 2022
28*2022
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
A Epasto, V Mirrokni, B Perozzi, A Tsitsulin, P Zhong
NeurIPS, 2022
252022
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
252020
Don't Forget to Connect! Improving RAG with Graph-based Reranking
J Dong, B Fatemi, B Perozzi, LF Yang, A Tsitsulin
arXiv preprint arXiv:2405.18414, 2024
222024
InstantEmbedding: Efficient Local Node Representations
Ş Postăvaru, A Tsitsulin, FMG de Almeida, Y Tian, S Lattanzi, B Perozzi
arXiv preprint arXiv:2010.06992, 2020
222020
Understanding transformer reasoning capabilities via graph algorithms
C Sanford, B Fatemi, E Hall, A Tsitsulin, M Kazemi, J Halcrow, B Perozzi, ...
Advances in Neural Information Processing Systems 37, 78320-78370, 2024
192024
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
B Fatemi, M Kazemi, A Tsitsulin, K Malkan, J Yim, J Palowitch, S Seo, ...
arXiv preprint arXiv:2406.09170, 2024
162024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Z Chen, H Mao, J Liu, Y Song, B Li, W Jin, B Fatemi, A Tsitsulin, B Perozzi, ...
arXiv preprint arXiv:2406.10727, 2024
152024
Grasp: Graph alignment through spectral signatures
J Hermanns, A Tsitsulin, M Munkhoeva, A Bronstein, D Mottin, P Karras
Web and Big Data: 5th International Joint Conference, APWeb-WAIM 2021 …, 2021
152021
SGR: Self-Supervised Spectral Graph Representation Learning
A Tsitsulin, D Mottin, P Karras, A Bronstein, E Müller
arXiv preprint arXiv:1811.06237, 2018
92018
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