Öykü Deniz Köse

Orcid: 0000-0002-8685-2161

According to our database1, Öykü Deniz Köse authored at least 22 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Demystifying and Mitigating Bias for Node Representation Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

FairGAT: Fairness-Aware Graph Attention Networks.
ACM Trans. Knowl. Discov. Data, August, 2024

FairWire: Fair Graph Generation.
CoRR, 2024

Filtering as Rewiring for Bias Mitigation on Graphs.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

2023
Fast&Fair: Training Acceleration and Bias Mitigation for GNNs.
Trans. Mach. Learn. Res., 2023

Fairness-aware Optimal Graph Filter Design.
CoRR, 2023

Fairness in Graph Machine Learning: Recent Advances and Future Prospectives.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Dynamic Fair Node Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Fairness-Aware Dimensionality Reduction.
Proceedings of the 31st European Signal Processing Conference, 2023

Fairness-Aware Graph Filter Design.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Fair Contrastive Learning on Graphs.
IEEE Trans. Signal Inf. Process. over Networks, 2022

FairNorm: Fair and Fast Graph Neural Network Training.
CoRR, 2022

Fair Node Representation Learning via Adaptive Data Augmentation.
CoRR, 2022

Fairness-Aware Selective Sampling on Attributed Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2022

Fairness-aware Adaptive Network Link Prediction.
Proceedings of the 30th European Signal Processing Conference, 2022

Fairness-aware Graph Attention Networks.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Multimodal Representations for Synchronized Speech and Real-Time MRI Video Processing.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Fairness-Aware Node Representation Learning.
CoRR, 2021

2020
Machine Learning-Based Silent Entity Localization Using Molecular Diffusion.
IEEE Commun. Lett., 2020

Joint Distance and Representation Learning for Sign Language Videos.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

Recurrent Neural Audiovisual Word Embeddings for Synchronized Speech and Real-Time Mri.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Temporally-Aware Acoustic Unit Discovery for Zerospeech 2019 Challenge.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019


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