Kamer Kaya | DeepAI

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Featured Co-authors

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∙ 10/19/2021

Boosting Graph Embedding on a Single GPU

Graphs are ubiquitous, and they can model unique characteristics and com...

0 Amro Alabsi Aljundi, et al. ∙

∙ 06/23/2021

A Bloom Filter Survey: Variants for Different Domain Applications

There is a plethora of data structures, algorithms, and frameworks deali...

0 Anes Abdennebi, et al. ∙

∙ 05/09/2021

Fast and Error-Adaptive Influence Maximization based on Count-Distinct Sketches

Influence maximization (IM) is the problem of finding a seed vertex set ...

0 Gokhan Gokturk, et al. ∙

∙ 03/09/2021

Streaming Hypergraph Partitioning Algorithms on Limited Memory Environments

Many well-known, real-world problems involve dynamic data which describe...

0 Fatih Taşyaran, et al. ∙

∙ 09/10/2020

Understanding Coarsening for Embedding Large-Scale Graphs

A significant portion of the data today, e.g, social networks, web conne...

0 Taha Atahan Akyildiz, et al. ∙

∙ 08/27/2020

GOSH: Embedding Big Graphs on Small Hardware

In graph embedding, the connectivity information of a graph is used to r...

0 Taha Atahan Akyildiz, et al. ∙

∙ 08/26/2020

Vertex Ordering Algorithms for Graph Coloring Problem

Graph coloring is a fundamental problem in combinatorics with many appli...

0 Arda Asik, et al. ∙

∙ 08/07/2020

Boosting Parallel Influence-Maximization Kernels for Undirected Networks with Fusing and Vectorization

Influence maximization (IM) is the problem of finding a seed vertex set ...

0 Gokhan Gokturk, et al. ∙

∙ 03/02/2019

One Table to Count Them All: Parallel Frequency Estimation on Single-Board Computers

Sketches are probabilistic data structures that can provide approximate ...

0 Fatih Taşyaran, et al. ∙

∙ 09/05/2015

HAMSI: A Parallel Incremental Optimization Algorithm Using Quadratic Approximations for Solving Partially Separable Problems

We propose HAMSI (Hessian Approximated Multiple Subsets Iteration), whic...

0 Kamer Kaya, et al. ∙

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