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@NGMLGroup

Northernmost GraphML Group

Research in graph machine learning, graph data analysis, networks

đŸ‘‹ Hi there!

We are the Northernmost Graph Machine Learning Group! ☃

We are the Northernmost Graph Machine Learning Group!

Here you can find the repositories of our papers and the projects we are working on.

For more information about us, check our Webpage

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  1. Koopman-TGNN-Interpretability Koopman-TGNN-Interpretability Public

    Repository for the paper "Interpreting Temporal Graph Neural Networks with Koopman Theory"

    Python 12 3

  2. Bayesian-Nonparametric-Graph-Pooling Bayesian-Nonparametric-Graph-Pooling Public

    Implementation of the BNPool layer and code to reproduce the experiments in "Bayesian Nonparametric GNNs for graph pooling and clustering".

    Python 15 3

  3. MaxCutPool MaxCutPool Public

    Official repository of the paper "MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks" presented at ICLR 2025.

    Python 8 1

  4. Time-Series-Clustering-with-GNNs Time-Series-Clustering-with-GNNs Public

    Pytorch implementation of the Spatio-temporal GNN to cluster correlated time series

    Python 7

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