Search Results - "Deniz Kose, O."

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  1. 1

    Fairness-Aware Graph Filter Design by Deniz Kose, O., Shen, Yanning, Mateos, Gonzalo

    “…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. 2

    Demystifying and Mitigating Bias for Node Representation Learning by Kose, O. Deniz, Shen, Yanning

    “…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. 3

    Fairness-Aware Optimal Graph Filter Design by Kose, O. Deniz, Mateos, Gonzalo, Shen, Yanning

    “…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. 4

    Fairness-aware Graph Attention Networks by Kose, O. Deniz, Shen, Yanning

    “…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
  5. 5

    Fairness-Aware Dimensionality Reduction by Kose, O. Deniz, Shen, Yanning

    “…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. 6

    Filtering as Rewiring for Bias Mitigation on Graphs by Kose, O. Deniz, Mateos, Gonzalo, Shen, Yanning

    “…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
  7. 7

    FairWire: Fair Graph Generation by Kose, O. Deniz, Shen, Yanning

    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
  8. 8

    FairGAT: Fairness-aware Graph Attention Networks by Kose, O. Deniz, Shen, Yanning

    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
  9. 9

    Fairness-aware Adaptive Network Link Prediction by Kose, O. Deniz, Shen, Yanning

    “…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. 10

    FairNorm: Fair and Fast Graph Neural Network Training by Kose, O. Deniz, Shen, Yanning

    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. 11

    Fairness-aware Optimal Graph Filter Design by Kose, O. Deniz, Shen, Yanning, Mateos, Gonzalo

    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,…”
    Get full text
    Journal Article
  12. 12

    Fair Node Representation Learning via Adaptive Data Augmentation by Kose, O. Deniz, Shen, Yanning

    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. 13

    Fairness-Aware Graph Filter Design by Kose, O. Deniz, Shen, Yanning, Mateos, Gonzalo

    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…”
    Get full text
    Journal Article