3 papers
cs.LG2026
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…
cs.IR2024
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…
cs.LG2024
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…