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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.
3.
Witness proximity graphs and other geometric problems
by Dulieu, Muriel, Ph.D.  Polytechnic Institute of New York University. 2012: 115 pages; 3518747.
4.
Exploiting Structure in Data: Sampling and Signal Processing on Graphs
by Varma, Rohan Anilkumar, Ph.D.  Carnegie Mellon University. 2020: 211 pages; 27739115.
5.
Graph-based learning for information systems
by Li, Xin, Ph.D.  The University of Arizona. 2009: 197 pages; 3352368.
6.
Computation of evolutionary change
by Stanek, Edward Jason, Ph.D.  Iowa State University. 2009: 95 pages; 3352259.
7.
Multi-GPU Graph Processing
by Pan, Yuechao, Ph.D.  University of California, Davis. 2019: 136 pages; 13809782.
8.
Graph-Based Rhythm Interpretation in Optical Music Recognition
by Jin, Rong, Ph.D.  Indiana University. 2017: 135 pages; 10642136.
9.
Singularities of configuration and graph hypersurfaces
by Patterson, Eric, Ph.D.  The University of Chicago. 2009: 764 pages; 3362457.
10.
Algorithms for Graph Drawing Problems
by He, Dayu, Ph.D.  State University of New York at Buffalo. 2017: 107 pages; 10284151.
11.
Spanning trees, toughness, and eigenvalues of regular graphs
by Wong, Wiseley, Ph.D.  University of Delaware. 2013: 109 pages; 3595000.
12.
Theory of Graph Traversal Edit Distance, Extensions, and Applications
by Ebrahimpour Boroojeny, Ali, M.S.  Colorado State University. 2019: 67 pages; 13812734.
13.
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.
15.
Random Graphs with Attribute Affinity
by Radcliffe, Mary L., Ph.D.  University of California, San Diego. 2012: 91 pages; 3511135.
16.
Comparing Samos Document Search Performance between Apache Solr and Neo4j
by Stallard, Adam, M.S.  The Florida State University. 2017: 59 pages; 10270370.
17.
Boolean Satisfiability, Graph Problems, and Zeons
by Strotheide, Amanda, M.S.  Southern Illinois University at Edwardsville. 2018: 30 pages; 10844331.
18.
The Hybrid Task Graph Scheduler
by Blattner, Timothy, Ph.D.  University of Maryland, Baltimore County. 2016: 152 pages; 10245475.
19.
Graph-based approaches to resolve entity ambiguity
by Pershina, Maria, Ph.D.  New York University. 2016: 94 pages; 10139524.
20.
Network structures: Graph theory, statistics, and neuroscience applications
by Chang, Yu-Teng, Ph.D.  University of Southern California. 2012: 146 pages; 3513735.
21.
Botnet Detection Using Graph Based Feature Clustering
by Akula, Ravi Kiran, M.S.  Mississippi State University. 2018: 69 pages; 10751733.
22.
Graph-based Event Correlation for Network Security Defense
by Neise, Patrick, D.Engr.  The George Washington University. 2018: 96 pages; 10785425.
23.
Scalable graph -based learning applied to human language technology
by Alexandrescu, Andrei, Ph.D.  University of Washington. 2009: 206 pages; 3377339.
24.
Graph-Based Approach on Social Data Mining
by Wang, Guan, Ph.D.  University of Illinois at Chicago. 2014: 167 pages; 3668648.
25.
Geometric graph theory and wireless sensor networks
by Sarioz, Deniz, Ph.D.  City University of New York. 2012: 113 pages; 3499283.
26.
Top-K Query Processing in Edge-Labeled Graph Data
by Park, Noseong, Ph.D.  University of Maryland, College Park. 2016: 141 pages; 10128677.
28.
Graph theoretic approaches to understand resilience of complex systems
by Chopra, Shauhrat S., Ph.D.  University of Pittsburgh. 2015: 204 pages; 3735255.
29.
Graph diffusions and matrix functions: Fast algorithms and localization results
by Kloster, Kyle, Ph.D.  Purdue University. 2016: 114 pages; 10149739.
30.
Improving Knowledge Graph Quality with Network Representation Learning
by Shi, Baoxu, Ph.D.  University of Notre Dame. 2018: 108 pages; 13836462.
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