Anton Tsitsulin

47 papers A* 13Journal 30Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning. ICLR Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi
2024	J	`jnl`	Don't Forget to Connect! Improving RAG with Graph-based Reranking. CoRR Jialin Dong, Bahare Fatemi, Bryan Perozzi, Lin F. Yang, Anton Tsitsulin
2024	A*	`conf`	Graph Reasoning with LLMs (GReaL). KDD Anton Tsitsulin, Bryan Perozzi, Bahare Fatemi, Jonathan J. Halcrow
2024	J	`jnl`	Let Your Graph Do the Talking: Encoding Structured Data for LLMs. CoRR Bryan Perozzi, Bahare Fatemi, Dustin Zelle, Anton Tsitsulin, Seyed Mehran Kazemi, Rami Al-Rfou, Jonathan Halcrow
2024	J	`jnl`	Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning. CoRR Bahare Fatemi, Mehran Kazemi, Anton Tsitsulin, Karishma Malkan, Jinyeong Yim, John Palowitch, Sungyong Seo, Jonathan Halcrow, Bryan Perozzi
2024	A*	`conf`	Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. NeurIPS Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
2024	J	`jnl`	Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights. CoRR Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
2024	A*	`conf`	Understanding Transformer Reasoning Capabilities via Graph Algorithms. NeurIPS Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Mehran Kazemi, Jonathan Halcrow, Bryan Perozzi, Vahab Mirrokni
2024	J	`jnl`	Understanding Transformer Reasoning Capabilities via Graph Algorithms. CoRR Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Seyed Mehran Kazemi, Jonathan Halcrow, Bryan Perozzi, Vahab Mirrokni
2023	J	`jnl`	Examining the Effects of Degree Distribution and Homophily in Graph Learning Models. CoRR Mustafa Yasir, John Palowitch, Anton Tsitsulin, Long Tran-Thanh, Bryan Perozzi
2023	J	`jnl`	GRASP: Scalable Graph Alignment by Spectral Corresponding Functions. ACM Trans. Knowl. Discov. Data Judith Hermanns, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva, Alexander Frederiksen Kyster, Simon Nielsen, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras
2023	J	`jnl`	Graph Clustering with Graph Neural Networks. J. Mach. Learn. Res. Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller
2023	A*	`conf`	Graph Neural Networks in TensorFlow. KDD Bryan Perozzi, Sami Abu-El-Haija, Anton Tsitsulin
2023	A*	`conf`	HUGE: Huge Unsupervised Graph Embeddings with TPUs. KDD Brandon A. Mayer, Anton Tsitsulin, Hendrik Fichtenberger, Jonathan Halcrow, Bryan Perozzi
2023	J	`jnl`	HUGE: Huge Unsupervised Graph Embeddings with TPUs. CoRR Brandon A. Mayer, Anton Tsitsulin, Hendrik Fichtenberger, Jonathan Halcrow, Bryan Perozzi
2023	J	`jnl`	Tackling Provably Hard Representative Selection via Graph Neural Networks. Trans. Mach. Learn. Res. Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, MohammadHossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab Mirrokni
2023	A*	`conf`	The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). KDD Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik
2023	J	`jnl`	The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure. CoRR Anton Tsitsulin, Bryan Perozzi
2023	J	`jnl`	UGSL: A Unified Framework for Benchmarking Graph Structure Learning. CoRR Bahare Fatemi, Sami Abu-El-Haija, Anton Tsitsulin, Seyed Mehran Kazemi, Dustin Zelle, Neslihan Bulut, Jonathan Halcrow, Bryan Perozzi
2023	—	`conf`	Unsupervised Embedding Quality Evaluation. TAG-ML Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
2023	J	`jnl`	Unsupervised Embedding Quality Evaluation. CoRR Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
2022	A*	`conf`	Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank. NeurIPS Alessandro Epasto, Vahab Mirrokni, Bryan Perozzi, Anton Tsitsulin, Peilin Zhong
2022	J	`jnl`	Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank. CoRR Alessandro Epasto, Vahab Mirrokni, Bryan Perozzi, Anton Tsitsulin, Peilin Zhong
2022	A*	`conf`	GraphWorld: Fake Graphs Bring Real Insights for GNNs. KDD John Palowitch, Anton Tsitsulin, Brandon A. Mayer, Bryan Perozzi
2022	J	`jnl`	GraphWorld: Fake Graphs Bring Real Insights for GNNs. CoRR John Palowitch, Anton Tsitsulin, Brandon A. Mayer, Bryan Perozzi
2022	J	`jnl`	On Classification Thresholds for Graph Attention with Edge Features. CoRR Kimon Fountoulakis, Dake He, Silvio Lattanzi, Bryan Perozzi, Anton Tsitsulin, Shenghao Yang
2022	J	`jnl`	Spectral Graph Complexity. CoRR Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2022	J	`jnl`	Synthetic Graph Generation to Benchmark Graph Learning. CoRR Anton Tsitsulin, Benedek Rozemberczki, John Palowitch, Bryan Perozzi
2022	J	`jnl`	TF-GNN: Graph Neural Networks in TensorFlow. CoRR Oleksandr Ferludin, Arno Eigenwillig, Martin Blais, Dustin Zelle, Jan Pfeifer, Alvaro Sanchez-Gonzalez, Wai Lok Sibon Li, Sami Abu-El-Haija, Peter W. Battaglia, Neslihan Bulut, Jonathan Halcrow, Filipe Miguel Gonçalves de Almeida, Silvio Lattanzi, André Linhares, Brandon A. Mayer, Vahab S. Mirrokni, John Palowitch, Mihir Paradkar, Jennifer She, Anton Tsitsulin, Kevin Villela, Lisa Wang, David Wong, Bryan Perozzi
2022	J	`jnl`	Tackling Provably Hard Representative Selection via Graph Neural Networks. CoRR Seyed Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, MohammadHossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab S. Mirrokni
2021	J	`jnl`	FREDE: Anytime Graph Embeddings. Proc. VLDB Endow. Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
2021	—	`conf`	GRASP: Graph Alignment Through Spectral Signatures. APWeb/WAIM (1) Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras
2021	J	`jnl`	GRASP: Graph Alignment through Spectral Signatures. CoRR Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alex M. Bronstein, Davide Mottin, Panagiotis Karras
2021	—	`—`	Similarities and Representations of Graph Structures. Anton Tsitsulin
2020	J	`jnl`	FREDE: Linear-Space Anytime Graph Embeddings. CoRR Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
2020	J	`jnl`	Graph Clustering with Graph Neural Networks. CoRR Anton Tsitsulin, John Palowitch, Bryan Perozzi, Emmanuel Müller
2020	J	`jnl`	InstantEmbedding: Efficient Local Node Representations. CoRR Stefan Postavaru, Anton Tsitsulin, Filipe Miguel Gonçalves de Almeida, Yingtao Tian, Silvio Lattanzi, Bryan Perozzi
2020	A*	`conf`	Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs. WWW Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
2020	J	`jnl`	Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs. CoRR Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
2020	A*	`conf`	The Shape of Data: Intrinsic Distance for Data Distributions. ICLR Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
2019	J	`jnl`	Intrinsic Multi-scale Evaluation of Generative Models. CoRR Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
2019	—	`conf`	Spectral Graph Complexity. WWW (Companion Volume) Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018	A*	`conf`	NetLSD: Hearing the Shape of a Graph. KDD Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018	J	`jnl`	NetLSD: Hearing the Shape of a Graph. CoRR Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018	J	`jnl`	SGR: Self-Supervised Spectral Graph Representation Learning. CoRR Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Emmanuel Müller
2018	A*	`conf`	VERSE: Versatile Graph Embeddings from Similarity Measures. WWW Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller
2018	J	`jnl`	VERSE: Versatile Graph Embeddings from Similarity Measures. CoRR Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller