3 citations · 11 across the 6 of their papers we have counts for
6 papers
Implicit SVD for Graph Representation Learning
Sami Abu-El-Haija, Hesham Mostafa, Marcel Nassar +3
Recent improvements in the performance of state-of-the-art (SOTA) methods for Graph Representational Learning (GRL) have come at the cost of significant computational resource requ…
What does lie at the Milky Way centre? Insights from the S2 star orbit precession
C. R. Argüelles, M. F. Mestre, E. A. Becerra-Vergara +4
It has been recently demonstrated that both, a classical Schwarzschild black hole (BH), and a dense concentration of self-gravitating fermionic dark matter (DM) placed at the Galax…
Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs
Valentino Crespi, Wes Hardaker, Sami Abu-El-Haija +1
Computer security has been plagued by increasing formidable, dynamic, hard-to-detect, hard-to-predict, and hard-to-characterize hacking techniques. Such techniques are very often d…
Fast Graph Learning with Unique Optimal Solutions
Sami Abu-El-Haija, Valentino Crespi, Greg Ver Steeg +1
We consider two popular Graph Representation Learning (GRL) methods: message passing for node classification and network embedding for link prediction. For each, we pick a popular…
Attacking and Defending Covert Channels and Behavioral Models
Valentino Crespi, George Cybenko, Annarita Giani
In this paper we present methods for attacking and defending -gram statistical analysis techniques that are used, for example, in network traffic analysis and covert channel det…
Learning Hidden Markov Models using Non-Negative Matrix Factorization
George Cybenko, Valentino Crespi
The Baum-Welsh algorithm together with its derivatives and variations has been the main technique for learning Hidden Markov Models (HMM) from observational data. We present an HMM…