Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDavid F. Gleich
Person information
- affiliation: Purdue University, West Lafayette, Department of Computer Science
- affiliation: Stanford University, Institute for Computational and Mathematical Engineering
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j38]Charles Colley
, Huda Nassar, David F. Gleich:
Dominant Z-Eigenpairs of Tensor Kronecker Products Decouple. SIAM J. Matrix Anal. Appl. 44(3): 1006-1031 (2023)- [j37]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): 59-143 (2023) - [j36]Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama:
Aligning Spatially Constrained Graphs. IEEE Trans. Knowl. Data Eng. 35(8): 7712-7723 (2023) - [c55]Yufan Huang, C. Seshadhri, David F. Gleich:
Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming. ICML 2023: 13976-13992 - [i69]Yufan Huang, David F. Gleich:
A Cheeger Inequality for Size-Specific Conductance. CoRR abs/2303.11452 (2023) - [i68]Yufan Huang, Seshadhri Seshadhri, David F. Gleich:
Theoretical bounds on the network community profile from low-rank semi-definite programming. CoRR abs/2303.14550 (2023) - [i67]Yufan Huang, David F. Gleich, Nate Veldt:
Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods. CoRR abs/2310.13792 (2023) - 2022
- [c54]Austin R. Benson, Nate Veldt, David F. Gleich:
Fauci-Email: A JSON Digest of Anthony Fauci's Released Emails. ICWSM 2022: 1208-1217 - [i66]Disha Shur, Yufan Huang, David F. Gleich:
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings. CoRR abs/2207.11321 (2022) - [i65]Meng Liu, Tamal K. Dey, David F. Gleich:
Topological structure of complex predictions. CoRR abs/2207.14358 (2022) - 2021
- [j35]Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich:
Scalable Algorithms for Multiple Network Alignment. SIAM J. Sci. Comput. 43(5): S592-S611 (2021) - [j34]Xuejiao Kang, David F. Gleich, Ahmed H. Sameh, Ananth Grama:
Adaptive Erasure Coded Fault Tolerant Linear System Solver. ACM Trans. Parallel Comput. 8(4): 21:1-21:19 (2021) - [c53]Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich:
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. WWW 2021: 2092-2103 - [i64]Austin R. Benson, David F. Gleich, Desmond J. Higham:
Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data. CoRR abs/2103.05031 (2021) - [i63]Austin R. Benson, Nate Veldt, David F. Gleich:
fauci-email: a json digest of Anthony Fauci's released emails. CoRR abs/2108.01239 (2021) - 2020
- [j33]Nicole Eikmeier, David F. Gleich:
Classes of preferential attachment and triangle preferential attachment models with power-law spectra. J. Complex Networks 8(4) (2020) - [j32]Huda Nassar, Austin R. Benson, David F. Gleich:
Neighborhood and PageRank methods for pairwise link prediction. Soc. Netw. Anal. Min. 10(1): 63 (2020) - [c52]Nate Veldt, Anthony Wirth, David F. Gleich:
Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs. KDD 2020: 1868-1876 - [c51]Junhao Gan, David F. Gleich, Nate Veldt, Anthony Wirth, Xin Zhang:
Graph Clustering in All Parameter Regimes. MFCS 2020: 39:1-39:15 - [c50]Meng Liu, David F. Gleich:
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering. NeurIPS 2020 - [c49]Cameron Ruggles, Nate Veldt, David F. Gleich:
A Parallel Projection Method for Metric Constrained Optimization. CSC 2020: 43-53 - [c48]Huda Nassar, Caitlin Kennedy, Shweta Jain, Austin R. Benson, David F. Gleich:
Using Cliques with Higher-order Spectral Embeddings Improves Graph Visualizations. WWW 2020: 2927-2933 - [i62]Nate Veldt, Anthony Wirth, David F. Gleich:
Parameterized Objectives and Algorithms for Clustering Bipartite Graphs and Hypergraphs. CoRR abs/2002.09460 (2020) - [i61]Rania Ibrahim, David F. Gleich:
Local Hypergraph Clustering using Capacity Releasing Diffusion. CoRR abs/2003.04213 (2020) - [i60]Kimon Fountoulakis, Meng Liu, David F. Gleich, Michael W. Mahoney:
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance. CoRR abs/2004.09608 (2020) - [i59]Meng Liu, David F. Gleich:
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering. CoRR abs/2006.08569 (2020) - [i58]Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich:
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. CoRR abs/2011.07752 (2020) - [i57]Charles Colley, Huda Nassar, David F. Gleich:
Addressing Computational Bottlenecks in Higher-Order Graph Matching with Tensor Kronecker Product Structure. CoRR abs/2011.08837 (2020)
2010 – 2019
- 2019
- [j31]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): 1536-1543 (2019) - [j30]Joyce Jiyoung Whang, Yangyang Hou, David F. Gleich, Inderjit S. Dhillon:
Non-Exhaustive, Overlapping Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2644-2659 (2019) - [j29]Austin R. Benson, David F. Gleich:
Computing Tensor Z-Eigenvectors with Dynamical Systems. SIAM J. Matrix Anal. Appl. 40(4): 1311-1324 (2019) - [j28]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): 549-595 (2019) - [j27]Tao Wu, David F. Gleich:
Multiway Monte Carlo Method for Linear Systems. SIAM J. Sci. Comput. 41(6): A3449-A3475 (2019) - [j26]Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson:
Metric-Constrained Optimization for Graph Clustering Algorithms. SIAM J. Math. Data Sci. 1(2): 333-355 (2019) - [c47]Huda Nassar, Austin R. Benson, David F. Gleich:
Pairwise link prediction. ASONAM 2019: 386-393 - [c46]Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik:
Centrality in Dynamic Competition Networks. COMPLEX NETWORKS (2) 2019: 105-116 - [c45]Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama:
Rigid Graph Alignment. COMPLEX NETWORKS (1) 2019: 621-632 - [c44]Nate Veldt, Christine Klymko, David F. Gleich:
Flow-Based Local Graph Clustering with Better Seed Set Inclusion. SDM 2019: 378-386 - [c43]Rania Ibrahim, David F. Gleich:
Nonlinear Diffusion for Community Detection and Semi-Supervised Learning. WWW 2019: 739-750 - [c42]Nate Veldt, David F. Gleich, Anthony Wirth:
Learning Resolution Parameters for Graph Clustering. WWW 2019: 1909-1919 - [i56]Cameron Ruggles, Nate Veldt, David F. Gleich:
A Parallel Projection Method for Metric Constrained Optimization. CoRR abs/1901.10084 (2019) - [i55]Nate Veldt, David F. Gleich, Anthony Wirth:
Learning Resolution Parameters for Graph Clustering. CoRR abs/1903.05246 (2019) - [i54]Nicole Eikmeier, David F. Gleich:
Triangle Preferential Attachment Has Power-law Degrees and Eigenvalues; Eigenvalues Are More Stable to Network Sampling. CoRR abs/1904.12989 (2019) - [i53]Huda Nassar, Austin R. Benson, David F. Gleich:
Pairwise Link Prediction. CoRR abs/1907.04503 (2019) - [i52]Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama:
Rigid Graph Alignment. CoRR abs/1908.03201 (2019) - [i51]Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik:
Centrality in dynamic competition networks. CoRR abs/1909.06810 (2019) - [i50]Junhao Gan, David F. Gleich, Nate Veldt, Anthony Wirth, Xin Zhang:
Graph Clustering in All Parameter Regimes. CoRR abs/1910.06435 (2019) - 2018
- [c41]Nicole Eikmeier, Arjun S. Ramani, David F. Gleich:
The HyperKron Graph Model for Higher-Order Features. ICDM 2018: 941-946 - [c40]David F. Gleich, Nate Veldt, Anthony Wirth:
Correlation Clustering Generalized. ISAAC 2018: 44:1-44:13 - [c39]Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik:
Dynamic Competition Networks: Detecting Alliances and Leaders. WAW 2018: 115-144 - [c38]Nate Veldt, David F. Gleich, Anthony Wirth:
A Correlation Clustering Framework for Community Detection. WWW 2018: 439-448 - [c37]Huda Nassar, Nate Veldt, Shahin Mohammadi, Ananth Grama, David F. Gleich:
Low Rank Spectral Network Alignment. WWW 2018: 619-628 - [i49]Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik:
Dynamic Competition Networks: detecting alliances and leaders. CoRR abs/1803.01783 (2018) - [i48]Austin R. Benson, David F. Gleich:
Computing tensor Z-eigenvectors with dynamical systems. CoRR abs/1805.00903 (2018) - [i47]Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson:
A Projection Method for Metric-Constrained Optimization. CoRR abs/1806.01678 (2018) - [i46]Nicole Eikmeier, Arjun S. Ramani, David F. Gleich:
The HyperKron Graph Model for higher-order features. CoRR abs/1809.03488 (2018) - [i45]Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich:
Low rank methods for multiple network alignment. CoRR abs/1809.08198 (2018) - [i44]David F. Gleich, Nate Veldt, Anthony Wirth:
Correlation Clustering Generalized. CoRR abs/1809.09493 (2018) - [i43]Kimon Fountoulakis, David F. Gleich, Michael W. Mahoney:
A Short Introduction to Local Graph Clustering Methods and Software. CoRR abs/1810.07324 (2018) - [i42]Nate Veldt, Christine Klymko, David F. Gleich:
Flow-Based Local Graph Clustering with Better Seed Set Inclusion. CoRR abs/1811.12280 (2018) - 2017
- [j25]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): 1829-1836 (2017) - [j24]Kimon Fountoulakis, David F. Gleich, Michael W. Mahoney:
An Optimization Approach to Locally-Biased Graph Algorithms. Proc. IEEE 105(2): 256-272 (2017) - [j23]Austin R. Benson, David F. Gleich, Lek-Heng Lim:
The Spacey Random Walk: A Stochastic Process for Higher-Order Data. SIAM Rev. 59(2): 321-345 (2017) - [j22]Yao Zhu, David F. Gleich, Ananth Grama:
Erasure Coding for Fault-Oblivious Linear System Solvers. SIAM J. Sci. Comput. 39(1) (2017) - [j21]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): 1446-1458 (2017) - [c36]Xuejiao Kang, David F. Gleich, Ahmed H. Sameh, Ananth Grama:
Distributed Fault Tolerant Linear System Solvers Based on Erasure Coding. ICDCS 2017: 2478-2485 - [c35]Hao Yin, Austin R. Benson, Jure Leskovec, David F. Gleich:
Local Higher-Order Graph Clustering. KDD 2017: 555-564 - [c34]Nicole Eikmeier, David F. Gleich:
Revisiting Power-law Distributions in Spectra of Real World Networks. KDD 2017: 817-826 - [c33]Tao Wu, David F. Gleich:
Retrospective Higher-Order Markov Processes for User Trails. KDD 2017: 1185-1194 - [c32]Huda Nassar, David F. Gleich:
Multimodal Network Alignment. SDM 2017: 615-623 - [c31]Nate Veldt, Anthony Ian Wirth, David F. Gleich:
Correlation Clustering with Low-Rank Matrices. WWW 2017: 1025-1034 - [i41]Ayan Sinha, David F. Gleich, Karthik Ramani:
Deconvolving Feedback Loops in Recommender Systems. CoRR abs/1703.01049 (2017) - [i40]Huda Nassar, David F. Gleich:
Multimodal Network Alignment. CoRR abs/1703.10511 (2017) - [i39]Tao Wu, David F. Gleich:
Retrospective Higher-Order Markov Processes for User Trails. CoRR abs/1704.05982 (2017) - [i38]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 abs/1709.03438 (2017) - [i37]Nate Veldt, David F. Gleich, Anthony Wirth:
Unifying Sparsest Cut, Cluster Deletion, and Modularity Clustering Objectives with Correlation Clustering. CoRR abs/1712.05825 (2017) - 2016
- [j20]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: 43-59 (2016) - [j19]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): 39-45 (2016) - [j18]Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon:
Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion. IEEE Trans. Knowl. Data Eng. 28(5): 1272-1284 (2016) - [c30]Bryan Rainey, David F. Gleich:
Massive graph processing on nanocomputers. IEEE BigData 2016: 3326-3335 - [c29]Nate Veldt, David F. Gleich, Michael W. Mahoney:
A Simple and Strongly-Local Flow-Based Method for Cut Improvement. ICML 2016: 1938-1947 - [c28]Tao Wu, Austin R. Benson, David F. Gleich:
General Tensor Spectral Co-clustering for Higher-Order Data. NIPS 2016: 2559-2567 - [c27]Ayan Sinha, David F. Gleich, Karthik Ramani:
Deconvolving Feedback Loops in Recommender Systems. NIPS 2016: 3243-3251 - [c26]Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon:
Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering. SDM 2016: 297-305 - [c25]Anthony Bonato, David Ryan D'Angelo, Ethan R. Elenberg, David F. Gleich, Yangyang Hou:
Mining and Modeling Character Networks. WAW 2016: 100-114 - [p1]David F. Gleich, Michael W. Mahoney:
Mining Large Graphs. Handbook of Big Data 2016: 191-220 - [i36]Biaobin Jiang, Kyle Kloster, David F. Gleich, Michael Gribskov:
AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs. CoRR abs/1601.05506 (2016) - [i35]Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon:
Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering. CoRR abs/1602.01910 (2016) - [i34]Austin R. Benson, David F. Gleich, Lek-Heng Lim:
The Spacey Random Walk: a Stochastic Process for Higher-order Data. CoRR abs/1602.02102 (2016) - [i33]Kerrek Stinson, David F. Gleich, Paul G. Constantine:
A randomized algorithm for enumerating zonotope vertices. CoRR abs/1602.06620 (2016) - [i32]Tao Wu, Austin R. Benson, David F. Gleich:
General Tensor Spectral Co-clustering for Higher-Order Data. CoRR abs/1603.00395 (2016) - [i31]Nate Veldt, David F. Gleich, Michael W. Mahoney:
A Simple and Strongly-Local Flow-Based Method for Cut Improvement. CoRR abs/1605.08490 (2016) - [i30]Kimon Fountoulakis, David F. Gleich, Michael W. Mahoney:
An optimization approach to locally-biased graph algorithms. CoRR abs/1607.04940 (2016) - [i29]Anthony Bonato, David Ryan D'Angelo, Ethan R. Elenberg, David F. Gleich, Yangyang Hou:
Mining and modeling character networks. CoRR abs/1608.00646 (2016) - [i28]Tao Wu, David F. Gleich:
Multi-way Monte Carlo Method for Linear Systems. CoRR abs/1608.04361 (2016) - [i27]Nate Veldt, Anthony Wirth, David F. Gleich:
Correlation Clustering with Low-Rank Matrices. CoRR abs/1611.07305 (2016) - [i26]Austin R. Benson, David F. Gleich, Jure Leskovec:
Higher-order organization of complex networks. CoRR abs/1612.08447 (2016) - 2015
- [j17]David F. Gleich, Kyle Kloster:
Sublinear Column-wise Actions of the Matrix Exponential on Social Networks. Internet Math. 11(4-5): 352-384 (2015) - [j16]David F. Gleich, Lek-Heng Lim, Yongyang Yu:
Multilinear PageRank. SIAM J. Matrix Anal. Appl. 36(4): 1507-1541 (2015) - [j15]David F. Gleich:
PageRank Beyond the Web. SIAM Rev. 57(3): 321-363 (2015) - [j14]Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin:
Parallel Maximum Clique Algorithms with Applications to Network Analysis. SIAM J. Sci. Comput. 37(5) (2015) - [c24]Biaobin Jiang, David F. Gleich, Michael Gribskov:
Differential flux balance analysis of quantitative proteomic data on protein interaction networks. GlobalSIP 2015: 977-981 - [c23]David F. Gleich, Michael W. Mahoney:
Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms. KDD 2015: 359-368 - [c22]Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon:
Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming. KDD 2015: 427-436 - [c21]Austin R. Benson, David F. Gleich, Jure Leskovec:
Tensor Spectral Clustering for Partitioning Higher-order Network Structures. SDM 2015: 118-126 - [c20]Joyce Jiyoung Whang, Inderjit S. Dhillon, David F. Gleich:
Non-exhaustive, Overlapping k-means. SDM 2015: 936-944 - [c19]Huda Nassar, Kyle Kloster, David F. Gleich:
Strong Localization in Personalized PageRank Vectors. WAW 2015: 190-202 - [e1]David F. Gleich, Júlia Komjáthy, Nelly Litvak:
Algorithms and Models for the Web Graph - 12th International Workshop, WAW 2015, Eindhoven, The Netherlands, December 10-11, 2015, Proceedings. Lecture Notes in Computer Science 9479, Springer 2015, ISBN 978-3-319-26783-8 [contents] - [i25]Yao Zhu, David F. Gleich:
A Parallel Min-Cut Algorithm using Iteratively Reweighted Least Squares. CoRR abs/1501.03105 (2015) - [i24]Austin R. Benson, David F. Gleich, Jure Leskovec:
Tensor Spectral Clustering for Partitioning Higher-order Network Structures. CoRR abs/1502.05058 (2015) - [i23]Kyle Kloster, David F. Gleich:
Personalized PageRank Solution Paths. CoRR abs/1503.00322 (2015) - [i22]Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon:
Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion. CoRR abs/1503.07439 (2015) - [i21]Huda Nassar, Kyle Kloster, David F. Gleich:
Strong Localization in Personalized PageRank Vectors. CoRR abs/1509.00016 (2015) - [i20]Shahin Mohammadi, David F. Gleich, Tamara G. Kolda, Ananth Grama:
Triangular Alignment (TAME): A Tensor-based Approach for Higher-order Network Alignment. CoRR abs/1510.06482 (2015) - 2014
- [j13]David F. Gleich, Ryan A. Rossi:
A Dynamical System for PageRank with Time-Dependent Teleportation. Internet Math. 10(1-2): 188-217 (2014) - [j12]Paul G. Constantine, David F. Gleich, Yangyang Hou, Jeremy A. Templeton:
Model Reduction With MapReduce-enabled Tall and Skinny Singular Value Decomposition. SIAM J. Sci. Comput. 36(5) (2014) - [c18]David F. Gleich, Michael W. Mahoney:
Anti-differentiating approximation algorithms: A case study with min-cuts, spectral, and flow. ICML 2014: 1018-1025 - [c17]Kyle Kloster, David F. Gleich:
Heat kernel based community detection. KDD 2014: 1386-1395 - [c16]Austin R. Benson, Jason D. Lee, Bartek Rajwa, David F. Gleich:
Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices. NIPS 2014: 945-953 - [c15]