Tuna Alikasifoglu

According to our database, Tuna Alikasifoglu authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

GraphTeacher: Transductive Fine-Tuning of Encoders Through Graph Neural Networks.

Emirhan Koç, Arda Can Aras, Tuna Alikasifoglu, Aykut Koç

IEEE Trans. Artif. Intell., May, 2026

2025

Joint time-vertex fractional Fourier transform.

Tuna Alikasifoglu, Bünyamin Kartal, Eray Özgünay, Aykut Koç

Signal Process., 2025

2024

Graph Fractional Fourier Transform: A Unified Theory.

Tuna Alikasifoglu, Bünyamin Kartal, Aykut Koç

IEEE Trans. Signal Process., 2024

Graph Receptive Transformer Encoder for Text Classification.

Arda Can Aras, Tuna Alikasifoglu, Aykut Koç

IEEE Trans. Signal Inf. Process. over Networks, 2024

Trainable Fractional Fourier Transform.

Emirhan Koç, Tuna Alikasifoglu, Arda Can Aras, Aykut Koç

IEEE Signal Process. Lett., 2024

Text-RGNNs: Relational Modeling for Heterogeneous Text Graphs.

Arda Can Aras, Tuna Alikasifoglu, Aykut Koç

IEEE Signal Process. Lett., 2024

Wiener Filtering in Joint Time-Vertex Fractional Fourier Domains.

Tuna Alikasifoglu, Bünyamin Kartal, Aykut Koç

IEEE Signal Process. Lett., 2024

VISPool: Enhancing Transformer Encoders with Vector Visibility Graph Neural Networks.

Tuna Alikasifoglu, Arda Can Aras, Aykut Koç

Proceedings of the Findings of the Association for Computational Linguistics, 2024