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ORCIDDavid F. Gleich
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- affiliation: Purdue University, West Lafayette, Department of Computer Science
- affiliation: Stanford University, Institute for Computational and Mathematical Engineering
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2020 – today
- 2023
[j36]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)- [i68]Yufan Huang, David F. Gleich:
A Cheeger Inequality for Size-Specific Conductance. CoRR abs/2303.11452 (2023) - [i67]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) - 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]Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin, Md. Mostofa Ali Patwary:
Fast maximum clique algorithms for large graphs. WWW (Companion Volume) 2014: 365-366 - [i19]Austin R. Benson, Jason D. Lee, Bartek Rajwa, David F. Gleich:
Scalable methods for nonnegative matrix factorizations of near-separable tall-and-skinny matrices. CoRR abs/1402.6964 (2014) - [i18]Kyle Kloster, David F. Gleich:
Heat kernel based community detection. CoRR abs/1403.3148 (2014) - [i17]Christine Klymko, David F. Gleich, Tamara G. Kolda:
Using Triangles to Improve Community Detection in Directed Networks. CoRR abs/1404.5874 (2014) - [i16]Anthony Bonato, David F. Gleich, Myunghwan Kim, Dieter Mitsche, Pawel Pralat, Amanda Tian, Stephen J. Young:
Dimensionality of social networks using motifs and eigenvalues. CoRR abs/1405.0157 (2014) - [i15]David F. Gleich:
PageRank beyond the Web. CoRR abs/1407.5107 (2014) - [i14]David F. Gleich, Lek-Heng Lim, Yongyang Yu:
Multilinear PageRank. CoRR abs/1409.1465 (2014) - [i13]David F. Gleich, Ananth Grama, Yao Zhu:
Erasure coding for fault oblivious linear system solvers. CoRR abs/1412.7364 (2014) - 2013
- [j11]David F. Gleich:
Expanders, tropical semi-rings, and nuclear norms: oh my! XRDS 19(3): 32-36 (2013) - [j10]David F. Gleich, Chen Greif, James M. Varah:
The power and Arnoldi methods in an algebra of circulants. Numer. Linear Algebra Appl. 20(5): 809-831 (2013) - [j9]Mohsen Bayati, David F. Gleich, Amin Saberi, Ying Wang:
Message-Passing Algorithms for Sparse Network Alignment. ACM Trans. Knowl. Discov. Data 7(1): 3:1-3:31 (2013) - [c14]Austin R. Benson, David F. Gleich, James Demmel:
Direct QR factorizations for tall-and-skinny matrices in MapReduce architectures. IEEE BigData 2013: 264-272 - [c13]Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon:
Overlapping community detection using seed set expansion. CIKM 2013: 2099-2108 - [c12]