Doç. Dr. MUSTAFA COŞKUN

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 13

1. ArnoldiGCL: Graph Contrastive Learning via Learnable Arnoldi-Based Guided Spectral Chebyshev Polynomial Filters

KDD '25: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD ’25, Toronto, ON, Canada, Toronto, Kanada, 03 Ağustos 2025, (Tam Metin Bildiri)

2. Expanding label sets for graph convolutional networks

COŞKUN M., Grama A., GÜNGÖR B., Koyuturk M.

The 13th International Conference on Complex Networks and their Application, 13 Aralık 2024, (Tam Metin Bildiri)

3. Generalized Learning of Coefficients in Spectral Graph Convolutional Networks

COŞKUN M., Grama A., Koyuturk M.

The 15th IEEE International Conference on Knowledge Graph (ICKG), December 11-12, Abu Dhabi, UAE, Abu Dhabi, Birleşik Arap Emirlikleri, 10 Aralık 2024, (Tam Metin Bildiri)

4. Canonical Representation of Biological Networks Using Graph Convolution

Li M., COŞKUN M., Koyuturk M.

BCB '23: Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, 08 Eylül 2023, (Tam Metin Bildiri)

5. Traffic Light Management Systems Using Reinforcement Learning

Can S. K., Thahir A., COŞKUN M., GÜNGÖR V. Ç.

the Innovations in Intelligent Systems and Applications Conference (ASYU 2022), Antalya, Türkiye, 07 Eylül 2022, (Tam Metin Bildiri)

6. Eigen gaps to decide on graph convolutional network architecture

COŞKUN M.

4th International Conference on Pure and Applied Mathematics, 08 Haziran 2022, (Özet Bildiri)

7. Linear vs. Non-Linear Embedding Methods in Recommendation Systems

Gurler K., Coskun M., Karagenc S., Orun G., Pak B. K., GÜNGÖR V. Ç.

2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022, Antalya, Türkiye, 7 - 09 Eylül 2022, (Tam Metin Bildiri)

8. Assessing Employee Attrition Using Classifications Algorithms

ÖZDEMİR F., COŞKUN M., GEZER C., GÜNGÖR V. Ç.

ICISDM 2020: Proceedings of the 2020 the 4th International Conference on Information System and Data Mining, Hawaii, Amerika Birleşik Devletleri, 01 Mayıs 2020, (Tam Metin Bildiri)

9. OFFER Referees Suggester for the Journal Editors

COŞKUN M., Hilal H., Cengiz G., GÜNGÖR V. Ç.

IEEE Symposium on Computers and Communications, İspanya, 30 Haziran - 03 Temmuz 2019, (Tam Metin Bildiri)

10. Deep Reinforcement Learning for Traffic Light Optimization

COŞKUN M., Baggag A., Chawla S.

2018 IEEE International Conference on Data Mining Workshops (ICDMW), Singapore, Singapore, Singapur, 17 - 20 Kasım 2018, (Tam Metin Bildiri)

11. Drug Response Prediction as a Link Prediction Problem

Stanfield Z., Coskun M., Koyuturk M.

8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics (ACM-BCB), Massachusetts, Amerika Birleşik Devletleri, 20 - 23 Ağustos 2017, ss.638, (Tam Metin Bildiri)

12. Efficient Processing of Network Proximity Queries via Chebyshev Acceleration

COŞKUN M., Koyuturk M., Grama A.

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD ’xx16, San Francisco, California, USA, 13 - 17 Ağustos 2016, (Tam Metin Bildiri)

13. Link Prediction in Large Networks by Comparing the Global View of Nodes in the Network

COŞKUN M., Koyuturk M.

2015 IEEE International Conference on Data Mining Workshop (ICDMW), Atlantic City, NJ, USA, Amerika Birleşik Devletleri, 14 - 17 Kasım 2015, (Tam Metin Bildiri)

Doç. Dr. MUSTAFA COŞKUN

Yayınlar & Eserler

1. Multiplex Embedding of Biological Networks Using Cross-Network Node Similarities

2. Topological-Similarity Based Canonical Representations for Biological Link Prediction

3. Intelligent traffic light systems using edge flow predictions

4. Topological feature generation for link prediction in biological networks

5. Intrinsic graph topological correlation for graph convolutional network propagation

6. Consensus embedding for multiple networks: Computation and applications

7. Ağ gömülümü için yüksek boyutlu yakınsaklık ölçüsü

8. Developing a label propagation approach for cancer subtype classification problem

9. Node similarity-based graph convolution for link prediction in biological networks

10. Fast computation of Katz index for efficient processing of link prediction queries

11. Integrated querying and version control of context-specific biological networks

12. Hidden Smile Correlation Discovery Across Subjects Using Random Walk with Restart

13. Indexed Fast Network Proximity Querying

14. Drug Response Prediction as a Link Prediction Problem