Knowledge discovery in nanophotonics using geometric deep learning

Y Kiarashinejad, M Zandehshahvar… - Advanced Intelligent …, 2020 - Wiley Online Library
Herein, a new approach for using the intelligence aspects of artificial intelligence for
knowledge discovery rather than device optimization in electromagnetic (EM) …

The spectral zoo of networks: Embedding and visualizing networks with spectral moments

S Jin, R Zafarani - Proceedings of the 26th ACM SIGKDD International …, 2020 - dl.acm.org
Network embedding methods have been widely and successfully used in network-based
applications such as node classification and link prediction. However, an ideal network …

Network identification and authentication

S Jin, V Phoha, R Zafarani - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Research on networks is commonly performed using anonymized network data for various
reasons such as protecting data privacy. Under such circumstances, it is difficult to verify the …

Graph-based identification and authentication: A stochastic kronecker approach

S Jin, VV Phoha, R Zafarani - IEEE Transactions on Knowledge …, 2020 - ieeexplore.ieee.org
A large body of research has focused on analyzing large networks and graphs. However,
network and graph data is often anonymized for reasons such as protecting data privacy …

Webshapes: Network visualization with 3D shapes

S Jin, R Wituszynski, M Caiello-Gingold… - Proceedings of the 13th …, 2020 - dl.acm.org
Network visualization has played a critical role in graph analysis, as it not only presents a
big picture of a network but also helps reveal the structural information of a network. The …

Interpretable Network Representations

S Jin - 2022 - search.proquest.com
Networks (or interchangeably graphs) have been ubiquitous across the globe and within
science and engineering: social networks, collaboration networks, protein-protein interaction …