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Northernmost GraphML Group · GitHub

Northernmost GraphML Group

Research in graph machine learning, graph data analysis, networks

👋 Hi there!

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 8

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