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Vahab Mirrokni — most-cited papers & profile · Graph Learning
← authors
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overview
Vahab Mirrokni
21
papers ·
0
citations ·
54
h-index
Google (United States)
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Most-cited papers
ASYMP: Fault-tolerant Mining of Massive Graphs
2017
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time
2021
Scalable Community Detection via Parallel Correlation Clustering
2021
Tackling Provably Hard Representative Selection via Graph Neural Networks
2022
TF-GNN: Graph Neural Networks in TensorFlow
2022
Smooth Anonymity for Sparse Graphs
2022
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
2022
Stars: Tera-Scale Graph Building for Clustering and Graph Learning
2022
Understanding Transformer Reasoning Capabilities via Graph Algorithms
2024
The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering
2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
2024
Top co-authors
Bryan Perozzi
· 6
Anton Tsitsulin
· 4
David Eisenstat
· 3
Jakub {\L}\k{a}cki
· 3
Jessica Shi
· 3
Jonathan Halcrow
· 3
Laxman Dhulipala
· 3
Alessandro Epasto
· 2
Clayton Sanford
· 2
Hossein Esfandiari
· 2
Mehran Kazemi
· 2
Peilin Zhong
· 2
Topics
cs.LG
cs.SI
cs.AI
cs.DS
cs.DC
stat.ML
cs.CR
Knowledge Graphs
cs.CV
cs.CC