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1.
Gunrock: A Programming Model and Implementation for Graph Analytics on Graphics Processing Units
by Wang, Yangzihao, Ph.D.  University of California, Davis. 2017: 134 pages; 10251096.
2.
Graph-based learning for information systems
by Li, Xin, Ph.D.  The University of Arizona. 2009: 197 pages; 3352368.
3.
Theory of Graph Traversal Edit Distance, Extensions, and Applications
by Ebrahimpour Boroojeny, Ali, M.S.  Colorado State University. 2019: 67 pages; 13812734.
4.
Multi-GPU Graph Processing
by Pan, Yuechao, Ph.D.  University of California, Davis. 2019: 136 pages; 13809782.
5.
Scalable graph -based learning applied to human language technology
by Alexandrescu, Andrei, Ph.D.  University of Washington. 2009: 206 pages; 3377339.
6.
Graph diffusions and matrix functions: Fast algorithms and localization results
by Kloster, Kyle, Ph.D.  Purdue University. 2016: 114 pages; 10149739.
7.
The importance of not being mean: DFM—a norm-referenced data model for face pattern recognition
by Kite, Lawrence Marc, Ph.D.  University of Southern California. 2009: 143 pages; 3355391.
9.
Singularities of configuration and graph hypersurfaces
by Patterson, Eric, Ph.D.  The University of Chicago. 2009: 764 pages; 3362457.
11.
The Hybrid Task Graph Scheduler
by Blattner, Timothy, Ph.D.  University of Maryland, Baltimore County. 2016: 152 pages; 10245475.
12.
Stopping data races using Redflag
by Duggal, Abhinav, M.S.  State University of New York at Stony Brook. 2010: 38 pages; 1477351.
13.
Botnet Detection Using Graph Based Feature Clustering
by Akula, Ravi Kiran, M.S.  Mississippi State University. 2018: 69 pages; 10751733.
14.
Learning functions on unknown manifolds
by Zhou, Xueyuan, Ph.D.  The University of Chicago. 2011: 126 pages; 3487652.
15.
Fuzzing the Berkeley Packet Filter
by Nilsen, Benjamin Curt, M.S.  University of California, Davis. 2020: 53 pages; 28000762.
16.
Controlling with Model Trees
by Kemerling, Robert Alan, Ph.D.  Nova Southeastern University. 2011: 121 pages; 3478677.
17.
Large margin transformation learning
by Howard, Andrew G., Ph.D.  Columbia University. 2009: 90 pages; 3388470.
18.
Exploiting Structure in Data: Sampling and Signal Processing on Graphs
by Varma, Rohan Anilkumar, Ph.D.  Carnegie Mellon University. 2020: 211 pages; 27739115.
19.
Region-based memory management for expressive GPU programming
by Holk, Eric, Ph.D.  Indiana University. 2016: 154 pages; 10132089.
20.
Data-driven 3D shape modeling
by Xi, Yongjian, Ph.D.  University of Missouri - Columbia. 2010: 87 pages; 3488869.
22.
Witness proximity graphs and other geometric problems
by Dulieu, Muriel, Ph.D.  Polytechnic Institute of New York University. 2012: 115 pages; 3518747.
23.
Kernel Based Relevance Vector Machine for Classification of Diseases
by Tcheimegni, Elie, D.Sc.  Bowie State University. 2013: 202 pages; 3558597.
24.
Approximating application performances in cloud data centers and simulated machines
by Islam, Mohammad Shahedul, Ph.D.  The University of Texas at San Antonio. 2016: 113 pages; 10249769.
25.
Computation of evolutionary change
by Stanek, Edward Jason, Ph.D.  Iowa State University. 2009: 95 pages; 3352259.
26.
Nonlinear epilepsy forewarning by support vector machines
by Ashbee, William S., M.S.  University of South Alabama. 2013: 51 pages; 1604736.
27.
Attack Space Reduction through Software Hardening and Specialization Using Compiler and Binary Analysis
by Quach, Anh, Ph.D.  State University of New York at Binghamton. 2020: 151 pages; 27958904.
28.
A model of forensic analysis using goal-oriented logging
by Peisert, Sean Philip, Ph.D.  University of California, San Diego. 2007: 182 pages; 3246091.
29.
Scalable, situationally aware visual analytics and applications
by Eaglin, Todd, Ph.D.  The University of North Carolina at Charlotte. 2017: 180 pages; 10270103.
30.
Automatic Transcompilation of Affine C Programs to CUDA
by Krasniqi, Leart, M.E.  University of Connecticut. 2020: 103 pages; 28150976.
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