Hanzhi Wang

Orcid: 0000-0002-0995-5546

Affiliations:
  • University of Copenhagen, Denmark
  • Renmin University of China, Beijing, China (PhD 2024)


According to our database1, Hanzhi Wang authored at least 15 papers between 2020 and 2025.

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Timeline

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Bibliography

2025
PageRank Centrality in Directed Graphs with Bounded In-Degree.
CoRR, August, 2025

Estimating Random-Walk Probabilities in Directed Graphs.
CoRR, April, 2025

Mixing Time Matters: Accelerating Effective Resistance Estimation via Bidirectional Method.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024
Optimal Dynamic Parameterized Subset Sampling.
Proc. ACM Manag. Data, November, 2024

Efficient Algorithms for Personalized PageRank Computation: A Survey.
IEEE Trans. Knowl. Data Eng., September, 2024

Revisiting Local Computation of PageRank: Simple and Optimal.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Revisiting Local PageRank Estimation on Undirected Graphs: Simple and Optimal.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Estimating Single-Node PageRank in Õ(min{d<sub>t</sub>, √m}) Time.
CoRR, 2023

Optimal Dynamic Subset Sampling: Theory and Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Edge-based Local Push for Personalized PageRank.
Proc. VLDB Endow., 2022

Instant Graph Neural Networks for Dynamic Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
ExactSim: benchmarking single-source SimRank algorithms with high-precision ground truths.
VLDB J., 2021

Approximate Graph Propagation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Exact Single-Source SimRank Computation on Large Graphs.
Proceedings of the 2020 International Conference on Management of Data, 2020

Personalized PageRank to a Target Node, Revisited.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020


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