1. COMPARISON OF SIMILARITY FUNCTIONS FOR VECTOR AGGREGATION IN NETWORK REPRESENTATION LEARNING MODELS Open Access Author: Colom, Daniel A Title: COMPARISON OF SIMILARITY FUNCTIONS FOR VECTOR AGGREGATION IN NETWORK REPRESENTATION LEARNING MODELS Area of Honors: Computer Engineering Keywords: Machine LearningNeural NetworkInformation NetworkRepresentation LearningSimilarity Functions File: Download Daniel_Colom_Thesis.pdf Thesis Supervisors: Wang-Chien Lee, Thesis SupervisorDr. Jesse Louis Barlow, Thesis Honors Advisor