10 citations · 10 across the 1 of their papers we have counts for
3 papers
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…