Resul Tugay

According to our database, Resul Tugay authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model.

Eren Olug, Kiymet Kaya, Resul Tugay, Sule Gündüz Ögüdücü

CoRR, 2024

Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs.

Sumeyye Bas, Kiymet Kaya, Resul Tugay, Sule Gündüz Ögüdücü

CoRR, 2024

Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience.

Sümeyye Öztürk, Ahmed Burak Ercan, Resul Tugay, Sule Gündüz Ögüdücü

Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024

A GNN Model with Adaptive Weights for Session-Based Recommendation Systems.

Begüm Özbay, Resul Tugay, Sule Gündüz Ögüdücü

Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024

2023

Learning and Deducing Temporal Orders.

Wenfei Fan, Resul Tugay, Yaoshu Wang, Min Xie, Muhammad Asif Ali

Proc. VLDB Endow., 2023

2022

Linking Entities across Relations and Graphs.

Wenfei Fan, Liang Geng, Ruochun Jin, Ping Lu, Resul Tugay, Wenyuan Yu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2020

Hotel Recommendation System Based on User Profiles and Collaborative Filtering.

Bekir Berker Türker, Resul Tugay, Sule Ögüdücü, Ipek Kizil

CoRR, 2020

Ranky : An Approach to Solve Distributed SVD on Large Sparse Matrices.

Resul Tugay, Sule Gündüz Ögüdücü

CoRR, 2020

2019

A Deep Hybrid Model for Recommendation Systems.

Muhammet Çakir, Sule Gündüz Ögüdücü, Resul Tugay

Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2017

Demand Prediction using Machine Learning Methods and Stacked Generalization.

Resul Tugay, Sule Gündüz Ögüdücü

Proceedings of the 6th International Conference on Data Science, 2017