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David F. Gleich — most-cited papers & profile · Graph Learning
← authors
·
overview
David F. Gleich
15
papers ·
0
citations
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Most-cited papers
Powers of Magnetic Graph Matrix: Fourier Spectrum, Walk Compression, and Applications
2025
AptRank: An Adaptive PageRank Model for Protein Function Prediction on Bi-relational Graphs
2016
A Simple and Strongly-Local Flow-Based Method for Cut Improvement
2016
Mining and modeling character networks
2016
Higher-order organization of complex networks
2016
Multimodal Network Alignment
2017
The HyperKron Graph Model for higher-order features
2018
Low rank methods for multiple network alignment
2018
A Short Introduction to Local Graph Clustering Methods and Software
2018
Centrality in dynamic competition networks
2019
Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data
2021
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings
2022
Theoretical bounds on the network community profile from low-rank semi-definite programming
2023
Multi-scale Local Network Structure Critically Impacts Epidemic Spread and Interventions
2023
A spatial hypergraph model to smoothly interpolate between pairwise graphs and hypergraphs to study higher-order structures
2024
Top co-authors
Michael W. Mahoney
· 3
Anthony Bonato
· 2
Austin R. Benson
· 2
Huda Nassar
· 2
Nicole Eikmeier
· 2
Omar Eldaghar
· 2
Yufan Huang
· 2
Ananth Grama
· 1
and Yangyang Hou
· 1
Arjun S. Ramani
· 1
Biaobin Jiang
· 1
C. Seshadhri
· 1
Topics
Uncategorized
cs.SI
physics.soc-ph
Temporal & Dynamic
cs.LG
math.OC