10 citations · 10 across the 2 of their papers we have counts for
4 papers
Boundary Degree as a Node-level Feature for Epidemic Scenario Identification in Agent-based Cascade Simulations
Amro Alabsi Aljundi, Galen Harrison, Jiangzhuo Chen +3
Characterizing the scenario underlying an epidemic from its disease cascade is an important task in simulation analytics. We propose boundary degree, the count of an infected node'…
Boosting Graph Embedding on a Single GPU
Amro Alabsi Aljundi, Taha Atahan Akyıldız, Kamer Kaya
Graphs are ubiquitous, and they can model unique characteristics and complex relations of real-life systems. Although using machine learning (ML) on graphs is promising, their raw…
Understanding Coarsening for Embedding Large-Scale Graphs
Taha Atahan Akyildiz, Amro Alabsi Aljundi, Kamer Kaya
A significant portion of the data today, e.g, social networks, web connections, etc., can be modeled by graphs. A proper analysis of graphs with Machine Learning (ML) algorithms ha…
GOSH: Embedding Big Graphs on Small Hardware
Taha Atahan Akyildiz, Amro Alabsi Aljundi, Kamer Kaya
In graph embedding, the connectivity information of a graph is used to represent each vertex as a point in a d-dimensional space. Unlike the original, irregular structural informat…