David F. Gleich is affiliated with Purdue University West Lafayette in the United States. Their research primarily spans the fields of Computer Science and Physics and Astronomy, with a significant focus on Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, and Computer Networks and Communications.
The scientist's work addresses diverse topics including Complex Network Analysis Techniques, Advanced Graph Neural Networks, Topological and Geometric Data Analysis, Opinion Dynamics and Social Influence, Sparse and Compressive Sensing Techniques, Tensor Decomposition and Applications, and studies related to COVID-19 epidemiology.
Among their recent papers are:
Frequent co-authors collaborating with David F. Gleich include:
The scientist's work has appeared in multiple publication venues, with recurrent contributions to:
David F. Gleich has contributed to academic literature through book publication with Springer Science+Business Media, authoring the book titled Algorithms and Models for the Web Graph in 2020.
Austin R. Benson;David F. Gleich;Jure Leskovec
David F. Gleich
Hao Yin;Austin R. Benson;Jure Leskovec;David F. Gleich
Joyce Jiyoung Whang;David F. Gleich;Inderjit S. Dhillon
Kyle Kloster;David F. Gleich
Joyce Jiyoung Whang;David F. Gleich;Inderjit S. Dhillon
David F. Gleich;C. Seshadhri
David F. Gleich;Lek-heng Lim
Mohsen Bayati;David F. Gleich;Amin Saberi;Ying Wang
Mohsen Bayati;Margot Gerritsen;David F. Gleich;Amin Saberi
David Gleich;Leonid Zhukov;Pavel Berkhin
Austin R Benson;David F Gleich;Jure Leskovec
Ryan A. Rossi;David F. Gleich;Assefaw Hadish Gebremedhin
Ryan A. Rossi;David F. Gleich;Assefaw H. Gebremedhin;Md. Mostofa Ali Patwary
David F. Gleich;Andrew P. Gray;Chen Greif;Tracy Lau
David F. Gleich;Lek-Heng Lim;Yongyang Yu
Joyce Jiyoung Whang;Inderjit S. Dhillon;David F. Gleich
Christine Klymko;David F. Gleich;Tamara G. Kolda
Austin R. Benson;David F. Gleich;James Demmel
Paul G. Constantine;David F. Gleich
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