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David F Gleich

Showing results (1-10 of 13) with videos related to

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Plos One|December 28, 2020
Local hypergraph clustering using capacity releasing diffusionRania Ibrahim, David F Gleich
Scientific Reports|August 11, 2018
Gauss's law for networks directly reveals community boundariesAyan Sinha, David F Gleich, Karthik Ramani
Proceedings of the National Academy of Sciences of the United States of America|March 19, 2026
Powers of magnetic graph matrix: Fourier spectrum, walk compression, and applicationsYinan Huang, David F Gleich, Pan Li
Proceedings of the ... SIAM International Conference on Data Mining. SIAM International Conference on Data Mining|January 1, 2015
Tensor Spectral Clustering for Partitioning Higher-order Network StructuresAustin R Benson, David F Gleich, Jure Leskovec
Science (New York, N.Y.)|July 9, 2016
Higher-order organization of complex networksAustin R Benson, David F Gleich, Jure Leskovec
Nature Communications|April 19, 2018
A geometric approach to characterize the functional identity of single cellsShahin Mohammadi, Vikram Ravindra, David F Gleich, et al.
Bioinformatics (Oxford, England)|February 16, 2017
AptRank: an adaptive PageRank model for protein function prediction on   bi-relational graphsBiaobin Jiang, Kyle Kloster, David F Gleich, et al.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|May 18, 2018
Local Higher-Order Graph ClusteringHao Yin, Austin R Benson, Jure Leskovec, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 3, 2016
Triangular Alignment (TAME): A Tensor-Based Approach for Higher-Order Network AlignmentShahin Mohammadi, David F Gleich, Tamara G Kolda, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 7, 2018
Non-Exhaustive, Overlapping ClusteringJoyce Jiyoung Whang, Yangyang Hou, David F Gleich, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Plos One|December 28, 2020
Local hypergraph clustering using capacity releasing diffusionRania Ibrahim, David F Gleich
Scientific Reports|August 11, 2018
Gauss's law for networks directly reveals community boundariesAyan Sinha, David F Gleich, Karthik Ramani
Proceedings of the National Academy of Sciences of the United States of America|March 19, 2026
Powers of magnetic graph matrix: Fourier spectrum, walk compression, and applicationsYinan Huang, David F Gleich, Pan Li
Proceedings of the ... SIAM International Conference on Data Mining. SIAM International Conference on Data Mining|January 1, 2015
Tensor Spectral Clustering for Partitioning Higher-order Network StructuresAustin R Benson, David F Gleich, Jure Leskovec
Science (New York, N.Y.)|July 9, 2016
Higher-order organization of complex networksAustin R Benson, David F Gleich, Jure Leskovec
Nature Communications|April 19, 2018
A geometric approach to characterize the functional identity of single cellsShahin Mohammadi, Vikram Ravindra, David F Gleich, et al.
Bioinformatics (Oxford, England)|February 16, 2017
AptRank: an adaptive PageRank model for protein function prediction on   bi-relational graphsBiaobin Jiang, Kyle Kloster, David F Gleich, et al.
KDD : Proceedings. International Conference on Knowledge Discovery & Data Mining|May 18, 2018
Local Higher-Order Graph ClusteringHao Yin, Austin R Benson, Jure Leskovec, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 3, 2016
Triangular Alignment (TAME): A Tensor-Based Approach for Higher-Order Network AlignmentShahin Mohammadi, David F Gleich, Tamara G Kolda, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 7, 2018
Non-Exhaustive, Overlapping ClusteringJoyce Jiyoung Whang, Yangyang Hou, David F Gleich, et al.
Pageof 2