Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection
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This talk was selected for Oral Presentation as part of a contribution to Complex Networks 2023. I talked about the need for consistent benchmarking practices in GNN community detection, demonstrated the drop in performance due to not carrying out a hyperparameter optimisation. I proposed a metric for quantifying randomness of the rankings of between different algorithms. The slides are available here.