Search Results - "Leeney, William"

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  1. 1

    Uncertainty in GNN Learning Evaluations: A Comparison between Measures for Quantifying Randomness in GNN Community Detection by Leeney, William, McConville, Ryan

    Published in Entropy (Basel, Switzerland) (01-01-2024)
    “…(1) The enhanced capability of graph neural networks (GNNs) in unsupervised community detection of clustered nodes is attributed to their capacity to encode…”
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    Journal Article
  2. 2

    Unsupervised Optimisation of GNNs for Node Clustering by Leeney, William, McConville, Ryan

    Published 12-02-2024
    “…Graph Neural Networks (GNNs) can be trained to detect communities within a graph by learning from the duality of feature and connectivity information…”
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    Journal Article
  3. 3

    A Framework for Exploring Federated Community Detection by Leeney, William, McConville, Ryan

    Published 14-12-2023
    “…Federated Learning is machine learning in the context of a network of clients whilst maintaining data residency and/or privacy constraints. Community detection…”
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    Journal Article
  4. 4

    Uncertainty in GNN Learning Evaluations: A Comparison Between Measures for Quantifying Randomness in GNN Community Detection by Leeney, William, McConville, Ryan

    Published 14-12-2023
    “…(1) The enhanced capability of Graph Neural Networks (GNNs) in unsupervised community detection of clustered nodes is attributed to their capacity to encode…”
    Get full text
    Journal Article
  5. 5

    Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection by Leeney, William, McConville, Ryan

    Published 10-05-2023
    “…Graph Neural Networks (GNNs) have improved unsupervised community detection of clustered nodes due to their ability to encode the dual dimensionality of the…”
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    Journal Article