1 citations · 1 across the 8 of their papers we have counts for
9 papers
GraphK: Variable-Size Graph Generation with Efficient Edge Construction
Resul Tugay, Eren Oluğ, Elif Ak +1
Graph generation models have advanced significantly with deep learning, yet they remain limited in scalability, flexibility, and ability to model underlying structures. We present…
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
Sümeyye Öztürk, Ahmed Burak Ercan, Resul Tugay +1
In today's world of globalized commerce, cross-market recommendation systems (CMRs) are crucial for providing personalized user experiences across diverse market segments. However,…
A GNN Model with Adaptive Weights for Session-Based Recommendation Systems
Begüm Özbay, Resul Tugay, Şule Gündüz Öğüdücü
Session-based recommendation systems aim to model users' interests based on their sequential interactions to predict the next item in an ongoing session. In this work, we present a…
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model
Eren Olug, Kiymet Kaya, Resul Tugay +1
Road traffic congestion prediction is a crucial component of intelligent transportation systems, since it enables proactive traffic management, enhances suburban experience, reduce…
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs
Sumeyye Bas, Kiymet Kaya, Resul Tugay +1
Graphs are crucial for representing interrelated data and aiding predictive modeling by capturing complex relationships. Achieving high-quality graph representation is important fo…
Hotel Recommendation System Based on User Profiles and Collaborative Filtering
Bekir Berker Türker, Resul Tugay, Şule Öğüdücü +1
Nowadays, people start to use online reservation systems to plan their vacations since they have vast amount of choices available. Selecting when and where to go from this large-sc…
Ranky : An Approach to Solve Distributed SVD on Large Sparse Matrices
Resul Tugay, Sule Gunduz Oguducu
Singular Value Decomposition (SVD) is a well studied research topic in many fields and applications from data mining to image processing. Data arising from these applications can b…
A Deep Hybrid Model for Recommendation Systems
Muhammet cakir, sule gunduz oguducu, resul tugay
Recommendation has been a long-standing problem in many areas ranging from e-commerce to social websites. Most current studies focus only on traditional approaches such as content-…
Demand Prediction Using Machine Learning Methods and Stacked Generalization
Resul Tugay, Sule Gunduz Oguducu
Supply and demand are two fundamental concepts of sellers and customers. Predicting demand accurately is critical for organizations in order to be able to make plans. In this paper…