David F. Gleich

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 117

Top Venues

Publications

Yufan Huang, David F. Gleich
Suboptimality bounds for trace-bounded SDPs enable a faster and scalable low-rank SDP solver SDPLR+. CoRR (2024)
Yufan Huang, David F. Gleich, Nate Veldt
Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods. WWW (2024)
David F. Gleich
Better than best low-rank approximation with the singular value decomposition. CoRR (2024)
Yufan Huang, C. Seshadhri, David F. Gleich
Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming. ICML (2023)
Meng Liu, Tamal K. Dey, David F. Gleich
Topological structure of complex predictions. Nat. Mac. Intell. 5 (12) (2023)
Yufan Huang, David F. Gleich, Nate Veldt
Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods. CoRR (2023)
Omar Eldaghar, Michael W. Mahoney, David F. Gleich
Multi-scale Local Network Structure Critically Impacts Epidemic Spread and Interventions. CoRR (2023)
Charles Colley, Huda Nassar, David F. Gleich
Dominant Z-Eigenpairs of Tensor Kronecker Products Decouple. SIAM J. Matrix Anal. Appl. 44 (3) (2023)
Kimon Fountoulakis, Meng Liu, David F. Gleich, Michael W. Mahoney
Flow-Based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance. SIAM Rev. 65 (1) (2023)
Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama
Aligning Spatially Constrained Graphs. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Yufan Huang, Seshadhri Seshadhri, David F. Gleich
Theoretical bounds on the network community profile from low-rank semi-definite programming. CoRR (2023)
Yufan Huang, David F. Gleich
A Cheeger Inequality for Size-Specific Conductance. CoRR (2023)
Disha Shur, Yufan Huang, David F. Gleich
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings. CoRR (2022)
Austin R. Benson, Nate Veldt, David F. Gleich
Fauci-Email: A JSON Digest of Anthony Fauci's Released Emails. ICWSM (2022)
Meng Liu, Tamal K. Dey, David F. Gleich
Topological structure of complex predictions. CoRR (2022)
Austin R. Benson, Nate Veldt, David F. Gleich
fauci-email: a json digest of Anthony Fauci's released emails. CoRR (2021)
Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich
Scalable Algorithms for Multiple Network Alignment. SIAM J. Sci. Comput. 43 (5) (2021)
Austin R. Benson, David F. Gleich, Desmond J. Higham
Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data. CoRR (2021)
Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. WWW (2021)
Xuejiao Kang, David F. Gleich, Ahmed H. Sameh, Ananth Grama
Adaptive Erasure Coded Fault Tolerant Linear System Solver. ACM Trans. Parallel Comput. 8 (4) (2021)
Huda Nassar, Caitlin Kennedy, Shweta Jain, Austin R. Benson, David F. Gleich
Using Cliques with Higher-order Spectral Embeddings Improves Graph Visualizations. WWW (2020)
Kimon Fountoulakis, M. Liu, David F. Gleich, Michael W. Mahoney
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance. CoRR (2020)
Meng Liu, David F. Gleich
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering. CoRR (2020)
Nate Veldt, Anthony Wirth, David F. Gleich
Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs. KDD (2020)
Nate Veldt, Anthony Wirth, David F. Gleich
Parameterized Objectives and Algorithms for Clustering Bipartite Graphs and Hypergraphs. CoRR (2020)
Meng Liu, David F. Gleich
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering. NeurIPS (2020)
Cameron Ruggles, Nate Veldt, David F. Gleich
A Parallel Projection Method for Metric Constrained Optimization. CSC (2020)
Junhao Gan, David F. Gleich, Nate Veldt, Anthony Wirth, Xin Zhang
Graph Clustering in All Parameter Regimes. MFCS (2020)
Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. CoRR (2020)
Nicole Eikmeier, David F. Gleich
Classes of preferential attachment and triangle preferential attachment models with power-law spectra. J. Complex Networks 8 (4) (2020)
Huda Nassar, Austin R. Benson, David F. Gleich
Neighborhood and PageRank methods for pairwise link prediction. Soc. Netw. Anal. Min. 10 (1) (2020)
Charles Colley, Huda Nassar, David F. Gleich
Addressing Computational Bottlenecks in Higher-Order Graph Matching with Tensor Kronecker Product Structure. CoRR (2020)
Rania Ibrahim, David F. Gleich
Local Hypergraph Clustering using Capacity Releasing Diffusion. CoRR (2020)
Austin R. Benson, David F. Gleich
Computing Tensor Z-Eigenvectors with Dynamical Systems. SIAM J. Matrix Anal. Appl. 40 (4) (2019)
Nate Veldt, David F. Gleich, Anthony Wirth
Learning Resolution Parameters for Graph Clustering. CoRR (2019)
Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson
Metric-Constrained Optimization for Graph Clustering Algorithms. SIAM J. Math. Data Sci. 1 (2) (2019)
Huda Nassar, Austin R. Benson, David F. Gleich
Pairwise Link Prediction. CoRR (2019)
Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik
Centrality in dynamic competition networks. CoRR (2019)
Huda Nassar, Austin R. Benson, David F. Gleich
Pairwise link prediction. ASONAM (2019)
Joyce Jiyoung Whang, Yangyang Hou, David F. Gleich, Inderjit S. Dhillon
Non-Exhaustive, Overlapping Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41 (11) (2019)
Arjun S. Ramani, Nicole Eikmeier, David F. Gleich
Coin-Flipping, Ball-Dropping, and Grass-Hopping for Generating Random Graphs from Matrices of Edge Probabilities. SIAM Rev. 61 (3) (2019)
Chih-Hsu Lin, Daniel M. Konecki, Meng Liu, Stephen J. Wilson, Huda Nassar, Angela D. Wilkins, David F. Gleich, Olivier Lichtarge
Multimodal network diffusion predicts future disease-gene-chemical associations. Bioinform. 35 (9) (2019)
Nicole Eikmeier, David F. Gleich
Triangle Preferential Attachment Has Power-law Degrees and Eigenvalues; Eigenvalues Are More Stable to Network Sampling. CoRR (2019)
Tao Wu, David F. Gleich
Multiway Monte Carlo Method for Linear Systems. SIAM J. Sci. Comput. 41 (6) (2019)
Rania Ibrahim, David F. Gleich
Nonlinear Diffusion for Community Detection and Semi-Supervised Learning. WWW (2019)
Junhao Gan, David F. Gleich, Nate Veldt, Anthony Wirth, Xin Zhang
Graph Clustering in All Parameter Regimes. CoRR (2019)
Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik
Centrality in Dynamic Competition Networks. COMPLEX NETWORKS (2) (2019)
Cameron Ruggles, Nate Veldt, David F. Gleich
A Parallel Projection Method for Metric Constrained Optimization. CoRR (2019)
Nate Veldt, Christine Klymko, David F. Gleich
Flow-Based Local Graph Clustering with Better Seed Set Inclusion. SDM (2019)
Nate Veldt, David F. Gleich, Anthony Wirth
Learning Resolution Parameters for Graph Clustering. WWW (2019)
Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama
Rigid Graph Alignment. CoRR (2019)
Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama
Rigid Graph Alignment. COMPLEX NETWORKS (1) (2019)
Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik
Dynamic Competition Networks: Detecting Alliances and Leaders. WAW (2018)
Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson
A Projection Method for Metric-Constrained Optimization. CoRR (2018)
Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik
Dynamic Competition Networks: detecting alliances and leaders. CoRR (2018)
Nicole Eikmeier, Arjun S. Ramani, David F. Gleich
The HyperKron Graph Model for Higher-Order Features. ICDM (2018)
Huda Nassar, Nate Veldt, Shahin Mohammadi, Ananth Grama, David F. Gleich
Low Rank Spectral Network Alignment. WWW (2018)
Nicole Eikmeier, Arjun S. Ramani, David F. Gleich
The HyperKron Graph Model for higher-order features. CoRR (2018)
David F. Gleich, Nate Veldt, Anthony Wirth
Correlation Clustering Generalized. ISAAC (2018)
Kimon Fountoulakis, David F. Gleich, Michael W. Mahoney
A Short Introduction to Local Graph Clustering Methods and Software. CoRR (2018)
Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich
Low rank methods for multiple network alignment. CoRR (2018)
David F. Gleich, Nate Veldt, Anthony Wirth
Correlation Clustering Generalized. CoRR (2018)
Nate Veldt, David F. Gleich, Anthony Wirth
A Correlation Clustering Framework for Community Detection. WWW (2018)
Austin R. Benson, David F. Gleich
Computing tensor Z-eigenvectors with dynamical systems. CoRR (2018)
Nate Veldt, Christine Klymko, David F. Gleich
Flow-Based Local Graph Clustering with Better Seed Set Inclusion. CoRR (2018)
Arjun S. Ramani, Nicole Eikmeier, David F. Gleich
Coin-flipping, ball-dropping, and grass-hopping for generating random graphs from matrices of edge probabilities. CoRR (2017)
Austin R. Benson, David F. Gleich, Lek-Heng Lim
The Spacey Random Walk: A Stochastic Process for Higher-Order Data. SIAM Rev. 59 (2) (2017)
Nicole Eikmeier, David F. Gleich
Revisiting Power-law Distributions in Spectra of Real World Networks. KDD (2017)
Huda Nassar, David F. Gleich
Multimodal Network Alignment. SDM (2017)
Tao Wu, David F. Gleich
Retrospective Higher-Order Markov Processes for User Trails. KDD (2017)
Nate Veldt, David F. Gleich, Anthony Wirth
Unifying Sparsest Cut, Cluster Deletion, and Modularity Clustering Objectives with Correlation Clustering. CoRR (2017)
Yao Zhu, David F. Gleich, Ananth Grama
Erasure Coding for Fault-Oblivious Linear System Solvers. SIAM J. Sci. Comput. 39 (1) (2017)
Kimon Fountoulakis, David F. Gleich, Michael W. Mahoney
An Optimization Approach to Locally-Biased Graph Algorithms. Proc. IEEE 105 (2) (2017)
Biaobin Jiang, Kyle Kloster, David F. Gleich, Michael Gribskov
AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs. Bioinform. 33 (12) (2017)
Tao Wu, David F. Gleich
Retrospective Higher-Order Markov Processes for User Trails. CoRR (2017)
Ayan Sinha, David F. Gleich, Karthik Ramani
Deconvolving Feedback Loops in Recommender Systems. CoRR (2017)
Huda Nassar, David F. Gleich
Multimodal Network Alignment. CoRR (2017)
Hao Yin, Austin R. Benson, Jure Leskovec, David F. Gleich
Local Higher-Order Graph Clustering. KDD (2017)
Xuejiao Kang, David F. Gleich, Ahmed H. Sameh, Ananth Grama
Distributed Fault Tolerant Linear System Solvers Based on Erasure Coding. ICDCS (2017)
Nate Veldt, Anthony Ian Wirth, David F. Gleich
Correlation Clustering with Low-Rank Matrices. WWW (2017)
Shahin Mohammadi, David F. Gleich, Tamara G. Kolda, Ananth Grama
Triangular Alignment (TAME): A Tensor-Based Approach for Higher-Order Network Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (6) (2017)
Austin R. Benson, David F. Gleich, Jure Leskovec
Higher-order organization of complex networks. CoRR (2016)
Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon
Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering. SDM (2016)
Tao Wu, Austin R. Benson, David F. Gleich
General Tensor Spectral Co-clustering for Higher-Order Data. CoRR (2016)
Ayan Sinha, David F. Gleich, Karthik Ramani
Deconvolving Feedback Loops in Recommender Systems. NIPS (2016)
Anthony Bonato, David Ryan D'Angelo, Ethan R. Elenberg, David F. Gleich, Yangyang Hou
Mining and Modeling Character Networks. WAW (2016)
Nate Veldt, David F. Gleich, Michael W. Mahoney
A Simple and Strongly-Local Flow-Based Method for Cut Improvement. ICML (2016)
Kerrek Stinson, David F. Gleich, Paul G. Constantine
A randomized algorithm for enumerating zonotope vertices. CoRR (2016)
Yao Zhu, David F. Gleich
A parallel min-cut algorithm using iteratively reweighted least squares targeting at problems with floating-point edge weights. Parallel Comput. 59 (2016)
Nate Veldt, Anthony Wirth, David F. Gleich
Correlation Clustering with Low-Rank Matrices. CoRR (2016)
Anthony Bonato, David Ryan D'Angelo, Ethan R. Elenberg, David F. Gleich, Yangyang Hou
Mining and modeling character networks. CoRR (2016)
Austin R. Benson, David F. Gleich, Lek-Heng Lim
The Spacey Random Walk: a Stochastic Process for Higher-order Data. CoRR (2016)
Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon
Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion. IEEE Trans. Knowl. Data Eng. 28 (5) (2016)
Kimon Fountoulakis, David F. Gleich, Michael W. Mahoney
An optimization approach to locally-biased graph algorithms. CoRR (2016)
Tao Wu, Austin R. Benson, David F. Gleich
General Tensor Spectral Co-clustering for Higher-Order Data. NIPS (2016)
Nate Veldt, David F. Gleich, Michael W. Mahoney
A Simple and Strongly-Local Flow-Based Method for Cut Improvement. CoRR (2016)
Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash
Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explor. 18 (1) (2016)
Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon
Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering. CoRR (2016)
Biaobin Jiang, Kyle Kloster, David F. Gleich, Michael Gribskov
AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs. CoRR (2016)
Bryan Rainey, David F. Gleich
Massive graph processing on nanocomputers. IEEE BigData (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

David F. Gleich