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Machine Learning for Complex Networks

Two papers accepted at NeurIPS 2024!

09/27/2024

We a delighted to announce that two of our works have been accepted for the main research track of the Conference on Neural Information Processing Systems (NeurIPS), which is the world's premiere venue on deep learning. Congratulations to Christopher Blöcker, Chester Tan and Franziska Heeg!

We a delighted to announce that two of our works have been accepted for the main research track of the Conference on Neural Information Processing Systems (NeurIPS), which is the world's premiere venue on deep learning. Congratulations to our team members Christopher Blöcker, Chester Tan and Franziska Heeg!

 In our works we use time-aware graph neural networks to predict temporal centralities and we show how graph neural networks can be used to minimize the MapEquation for community detection in graphs.