Saved in:
| Main Authors: | Tadić, Tvrtko, Becker, Cassiano, Neville, Jennifer |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.10148 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Graph Matching for Correlated Stochastic Block Models
by: Chai, Shuwen, et al.
Published: (2024)
by: Chai, Shuwen, et al.
Published: (2024)
Spectral clustering in the Gaussian mixture block model
by: Li, Shuangping, et al.
Published: (2023)
by: Li, Shuangping, et al.
Published: (2023)
Local Limits of Small World Networks
by: Alimohammadi, Yeganeh, et al.
Published: (2025)
by: Alimohammadi, Yeganeh, et al.
Published: (2025)
The Metric Dimension of Sparse Random Graphs
by: Díaz, Josep, et al.
Published: (2025)
by: Díaz, Josep, et al.
Published: (2025)
Finding the root in random nearest neighbor trees
by: Brandenberger, Anna, et al.
Published: (2024)
by: Brandenberger, Anna, et al.
Published: (2024)
Influence Maximization in Ising Models
by: Chen, Zongchen, et al.
Published: (2023)
by: Chen, Zongchen, et al.
Published: (2023)
Probability Tools for Sequential Random Projection
by: Li, Yingru
Published: (2024)
by: Li, Yingru
Published: (2024)
Errors are Robustly Tamed in Cumulative Knowledge Processes
by: Brandenberger, Anna, et al.
Published: (2023)
by: Brandenberger, Anna, et al.
Published: (2023)
Orthogonal Nonnegative Matrix Factorization with Sparsity Constraints
by: Basiri, Salar, et al.
Published: (2022)
by: Basiri, Salar, et al.
Published: (2022)
Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better
by: Balmaseda, Vicente, et al.
Published: (2024)
by: Balmaseda, Vicente, et al.
Published: (2024)
On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models
by: Bhaskara, Aditya, et al.
Published: (2024)
by: Bhaskara, Aditya, et al.
Published: (2024)
inGRASS: Incremental Graph Spectral Sparsification via Low-Resistance-Diameter Decomposition
by: Aghdaei, Ali, et al.
Published: (2024)
by: Aghdaei, Ali, et al.
Published: (2024)
Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
Weighted Embeddings for Low-Dimensional Graph Representation
by: Bläsius, Thomas, et al.
Published: (2024)
by: Bläsius, Thomas, et al.
Published: (2024)
Fast Approximate CoSimRanks via Random Projections
by: Yang, Renchi, et al.
Published: (2020)
by: Yang, Renchi, et al.
Published: (2020)
Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control
by: Elahi, Sepehr, et al.
Published: (2025)
by: Elahi, Sepehr, et al.
Published: (2025)
Adaptive Local Clustering over Attributed Graphs
by: Zheng, Haoran, et al.
Published: (2025)
by: Zheng, Haoran, et al.
Published: (2025)
Sublinear-Time Algorithms for Diagonally Dominant Systems and Applications to the Friedkin-Johnsen Model
by: Feng, Weiming, et al.
Published: (2025)
by: Feng, Weiming, et al.
Published: (2025)
Efficient Approximate Temporal Triangle Counting in Streaming with Predictions
by: Venturin, Giorgio, et al.
Published: (2025)
by: Venturin, Giorgio, et al.
Published: (2025)
Revisiting Information Cascades in Online Social Networks
by: Sidorov, Michael, et al.
Published: (2022)
by: Sidorov, Michael, et al.
Published: (2022)
A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time
by: Shen, Ranran, et al.
Published: (2023)
by: Shen, Ranran, et al.
Published: (2023)
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
by: Oettershagen, Lutz, et al.
Published: (2025)
by: Oettershagen, Lutz, et al.
Published: (2025)
Modularity and partially observed graphs
by: McDiarmid, Colin, et al.
Published: (2021)
by: McDiarmid, Colin, et al.
Published: (2021)
HITSnDIFFs: From Truth Discovery to Ability Discovery by Recovering Matrices with the Consecutive Ones Property
by: Chen, Zixuan, et al.
Published: (2023)
by: Chen, Zixuan, et al.
Published: (2023)
On Unbiased Low-Rank Approximation with Minimum Distortion
by: Barnes, Leighton Pate, et al.
Published: (2025)
by: Barnes, Leighton Pate, et al.
Published: (2025)
Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality
by: Li, Zihao, et al.
Published: (2024)
by: Li, Zihao, et al.
Published: (2024)
Spectral Toolkit of Algorithms for Graphs: Technical Report (2)
by: Macgregor, Peter, et al.
Published: (2024)
by: Macgregor, Peter, et al.
Published: (2024)
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
by: Hashemi, Mohammad, et al.
Published: (2024)
by: Hashemi, Mohammad, et al.
Published: (2024)
Differential Privacy on Trust Graphs
by: Ghazi, Badih, et al.
Published: (2024)
by: Ghazi, Badih, et al.
Published: (2024)
ProbeWalk: Fast Estimation of Biharmonic Distance on Graphs via Probe-Driven Random Walks
by: Zheng, Dehong, et al.
Published: (2025)
by: Zheng, Dehong, et al.
Published: (2025)
On the External Validity of Average-Case Analyses of Graph Algorithms
by: Bläsius, Thomas, et al.
Published: (2022)
by: Bläsius, Thomas, et al.
Published: (2022)
Leaf Stripping on Uniform Attachment Trees
by: Addario-Berry, Louigi, et al.
Published: (2024)
by: Addario-Berry, Louigi, et al.
Published: (2024)
Simple, unified analysis of Johnson-Lindenstrauss with applications
by: Li, Yingru
Published: (2024)
by: Li, Yingru
Published: (2024)
Efficiently learning and sampling multimodal distributions with data-based initialization
by: Koehler, Frederic, et al.
Published: (2024)
by: Koehler, Frederic, et al.
Published: (2024)
A General Reduction for High-Probability Analysis with General Light-Tailed Distributions
by: Attia, Amit, et al.
Published: (2024)
by: Attia, Amit, et al.
Published: (2024)
The graph alignment problem: fundamental limits and efficient algorithms
by: Ganassali, Luca
Published: (2024)
by: Ganassali, Luca
Published: (2024)
Improved sampling algorithms and functional inequalities for non-log-concave distributions
by: He, Yuchen, et al.
Published: (2025)
by: He, Yuchen, et al.
Published: (2025)
Approximating the Total Variation Distance between Gaussians
by: Bhattacharyya, Arnab, et al.
Published: (2025)
by: Bhattacharyya, Arnab, et al.
Published: (2025)
On approximating the $f$-divergence between two Ising models
by: Feng, Weiming, et al.
Published: (2025)
by: Feng, Weiming, et al.
Published: (2025)
Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance
by: Wirth, Leoni Carla, et al.
Published: (2025)
by: Wirth, Leoni Carla, et al.
Published: (2025)
Similar Items
-
Efficient Graph Matching for Correlated Stochastic Block Models
by: Chai, Shuwen, et al.
Published: (2024) -
Spectral clustering in the Gaussian mixture block model
by: Li, Shuangping, et al.
Published: (2023) -
Local Limits of Small World Networks
by: Alimohammadi, Yeganeh, et al.
Published: (2025) -
The Metric Dimension of Sparse Random Graphs
by: Díaz, Josep, et al.
Published: (2025) -
Finding the root in random nearest neighbor trees
by: Brandenberger, Anna, et al.
Published: (2024)