David F. Gleich, Ph.D.
Affiliations: | 2009 | Stanford University, Palo Alto, CA |
Area:
Computer Science, Mathematics, StatisticsGoogle:
"David Gleich"Parents
Sign in to add mentor| Michael Saunders | grad student | 2009 | Stanford | |
| (Models and algorithms for PageRank sensitivity.) | ||||
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Publications
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| Nassar H, Benson AR, Gleich DF. (2020) Neighborhood and PageRank methods for pairwise link prediction Social Network Analysis and Mining. 10: 63 |
| Ramani AS, Eikmeier N, Gleich DF. (2019) Coin-Flipping, Ball-Dropping, and Grass-Hopping for Generating Random Graphs from Matrices of Edge Probabilities Siam Review. 61: 549-595 |
| Sinha A, Gleich DF, Ramani K. (2018) Gauss's law for networks directly reveals community boundaries. Scientific Reports. 8: 11909 |
| Yin H, Benson AR, Leskovec J, et al. (2017) Local Higher-Order Graph Clustering. Kdd : Proceedings. International Conference On Knowledge Discovery & Data Mining. 2017: 555-564 |
| Jiang B, Kloster K, Gleich DF, et al. (2017) AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs. Bioinformatics (Oxford, England) |
| Benson AR, Gleich DF, Lim L. (2017) The Spacey Random Walk: A Stochastic Process for Higher-Order Data Siam Review. 59: 321-345 |
| Mohammadi S, Gleich DF, Kolda TG, et al. (2016) Triangular Alignment (TAME): A Tensor-based Approach for Higher-order Network Alignment. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm |
| Benson AR, Gleich DF, Leskovec J. (2016) Higher-order organization of complex networks. Science (New York, N.Y.). 353: 163-6 |
| Holder LB, Caceres R, Gleich DF, et al. (2016) Current and Future Challenges in Mining Large Networks Acm Sigkdd Explorations Newsletter. 18: 39-45 |
| Whang JJ, Gleich DF, Dhillon IS. (2016) Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion Ieee Transactions On Knowledge and Data Engineering. 28: 1272-1284 |