Demand Prediction using Machine Learning Methods and Stacked Generalization. - Resul Tugay; Sule Gündüz Ögüdücü (DATA, 2017)

A Deep Hybrid Model for Recommendation Systems. - Muhammet Çakir; Sule Gündüz Ögüdücü; Resul Tugay (AI*IA, 2019)

Ranky : An Approach to Solve Distributed SVD on Large Sparse Matrices. - Resul Tugay; Sule Gündüz Ögüdücü (CoRR, 2020)

Hotel Recommendation System Based on User Profiles and Collaborative Filtering. - Bekir Berker Türker; Resul Tugay; Sule Ögüdücü; Ipek Kizil (CoRR, 2020)

Linking Entities across Relations and Graphs. - Wenfei Fan; Liang Geng; Ruochun Jin; Ping Lu 005; Resul Tugay; Wenyuan Yu (ICDE, 2022)

Learning and Deducing Temporal Orders. - Wenfei Fan; Resul Tugay; Yaoshu Wang; Min Xie; Muhammad Asif Ali (Proc. VLDB Endow., 2023)

IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model. - Eren Olug; Kiymet Kaya; Resul Tugay; Sule Gündüz Ögüdücü (CAMAD, 2024)

A GNN Model with Adaptive Weights for Session-Based Recommendation Systems. - Begüm Özbay; Resul Tugay; Sule Gündüz Ögüdücü (ICMLT, 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 (ICMLT, 2024)

Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs. - Sumeyye Bas; Kiymet Kaya; Resul Tugay; Sule Gündüz Ögüdücü (CoRR, 2024)