Search Results - "Deniz Kose, O."
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Fairness-Aware Graph Filter Design
Published in 2023 57th Asilomar Conference on Signals, Systems, and Computers (29-10-2023)“…Graphs are mathematical tools that can be used to represent complex real-world systems, such as financial markets and social networks. Hence, machine learning…”
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Conference Proceeding -
2
Demystifying and Mitigating Bias for Node Representation Learning
Published in IEEE transaction on neural networks and learning systems (01-09-2024)“…Node representation learning has attracted increasing attention due to its efficacy for various applications on graphs. However, fairness is a largely…”
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Journal Article -
3
Fairness-Aware Optimal Graph Filter Design
Published in IEEE journal of selected topics in signal processing (01-03-2024)“…Graphs are mathematical tools that can be used to represent complex real-world interconnected systems, such as financial markets and social networks. Hence,…”
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Journal Article -
4
Fairness-aware Graph Attention Networks
Published in 2022 56th Asilomar Conference on Signals, Systems, and Computers (31-10-2022)“…Graphs can facilitate modeling of various complex systems and the analyses of the underlying relations within them, such as gene networks and power grids…”
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Conference Proceeding -
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Fairness-Aware Dimensionality Reduction
Published in 2023 31st European Signal Processing Conference (EUSIPCO) (04-09-2023)“…In this era of digitalization, the massive increase in available data leads to great potential for advancing various domains. However, the available data, such…”
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Conference Proceeding -
6
Filtering as Rewiring for Bias Mitigation on Graphs
Published in 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM) (08-07-2024)“…Machine learning over graphs (MLoG) has attracted growing attention due to its effectiveness in processing relational data from complex systems such as social…”
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Conference Proceeding -
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FairWire: Fair Graph Generation
Published 06-02-2024“…Machine learning over graphs has recently attracted growing attention due to its ability to analyze and learn complex relations within critical interconnected…”
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Journal Article -
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FairGAT: Fairness-aware Graph Attention Networks
Published 25-03-2023“…Graphs can facilitate modeling various complex systems such as gene networks and power grids, as well as analyzing the underlying relations within them…”
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Journal Article -
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Fairness-aware Adaptive Network Link Prediction
Published in 2022 30th European Signal Processing Conference (EUSIPCO) (29-08-2022)“…Network link prediction has attracted increasing attention due to its capability of extracting missing information, and evaluating network-evolving mechanisms…”
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Conference Proceeding -
10
FairNorm: Fair and Fast Graph Neural Network Training
Published 20-05-2022“…Graph neural networks (GNNs) have been demonstrated to achieve state-of-the-art for a number of graph-based learning tasks, which leads to a rise in their…”
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Journal Article -
11
Fairness-aware Optimal Graph Filter Design
Published 22-10-2023“…Graphs are mathematical tools that can be used to represent complex real-world interconnected systems, such as financial markets and social networks. Hence,…”
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Journal Article -
12
Fair Node Representation Learning via Adaptive Data Augmentation
Published 21-01-2022“…Node representation learning has demonstrated its efficacy for various applications on graphs, which leads to increasing attention towards the area. However,…”
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Journal Article -
13
Fairness-Aware Graph Filter Design
Published 20-03-2023“…Graphs are mathematical tools that can be used to represent complex real-world systems, such as financial markets and social networks. Hence, machine learning…”
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Journal Article