31 citations · 104 across the 17 of their papers we have counts for
5 papers · 1 filter
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…
ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies
Ş. S. Mağara, C. Yıldırım, F. Yaman +6
Preserving the privacy and security of big data in the context of cloud computing, while maintaining a certain level of efficiency of its processing remains to be a subject, open f…
A Bloom Filter Survey: Variants for Different Domain Applications
Anes Abdennebi, Kamer Kaya
There is a plethora of data structures, algorithms, and frameworks dealing with major data-stream problems like estimating the frequency of items, answering set membership, associa…
Fast and Error-Adaptive Influence Maximization based on Count-Distinct Sketches
Gokhan Gokturk, Kamer Kaya
Influence maximization (IM) is the problem of finding a seed vertex set that maximizes the expected number of vertices influenced under a given diffusion model. Due to the NP-Hardn…
Streaming Hypergraph Partitioning Algorithms on Limited Memory Environments
Fatih Taşyaran, Berkay Demireller, Kamer Kaya +1
Many well-known, real-world problems involve dynamic data which describe the relationship among the entities. Hypergraphs are powerful combinatorial structures that are frequently…