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Author

E. Koç

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Conference Jul 2026

Multi-view Graph Neural Network Guided Transformer for Cell-Type Annotation

Graph neural networks (GNNs) provide an effective mechanism for enhancing transformer representations by modeling relational structures that sequence-based models cannot directly capture. In this study, a multiview graph neural network enhanced transformer architecture is proposed for cell-type annotation in single-cel...

Y. Ekiz, E. Koç, Aykut Koç · 0 citations
Conference Jul 2026

Spatio-Temporal Time Series Forecasting with Graph-Enhanced Embeddings

Spatio-temporal time series forecasting is an important task in many areas such as traffic networks, environmental monitoring, and social networks. The goal is to predict future values of signals on the nodes of a graph using past observations. Current temporal encoding methods assume that temporal patterns are the sam...

Hasan Özekin, E. Koç, Aykut Koç · 0 citations

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