2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
Introduction to Graph Neural Networks for Machine Learning Engineers
James H. Tanis, Chris Giannella, Adrian V. Mariano +1
Graph neural networks are deep neural networks designed for graphs with attributes attached to nodes or edges. The number of research papers in the literature concerning these mode…
cs.DB2009
Breaching Euclidean Distance-Preserving Data Perturbation Using Few Known Inputs
Chris Giannella, Kun Liu, Hillol Kargupta
We examine Euclidean distance-preserving data perturbation as a tool for privacy-preserving data mining. Such perturbations allow many important data mining algorithms e.g. hierarc…
cs.DB2009
New Instability Results for High Dimensional Nearest Neighbor Search
Chris Giannella
Consider a dataset of n(d) points generated independently from R^d according to a common p.d.f. f_d with support(f_d) = [0,1]^d and sup{f_d([0,1]^d)} growing sub-exponentially in d…