Search Results - "Leeney, William"
-
1
Uncertainty in GNN Learning Evaluations: A Comparison between Measures for Quantifying Randomness in GNN Community Detection
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…”
Get full text
Journal Article -
2
Unsupervised Optimisation of GNNs for Node Clustering
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…”
Get full text
Journal Article -
3
A Framework for Exploring Federated Community Detection
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…”
Get full text
Journal Article -
4
Uncertainty in GNN Learning Evaluations: A Comparison Between Measures for Quantifying Randomness in GNN Community Detection
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
Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection
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…”
Get full text
Journal Article