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andrea-cavallo-98/README.md

👋 Hi there!

  • 📚 I am a PhD student at TU Delft (🇳🇱), where I work on learning and processing over

    • 📈 time series and dynamic graphs 📉
    • 🔺 higher-order networks and topologies 🔻

  • 🕐 Previously, I worked as a Research Assistant at Politecnico di Torino (🇮🇹), where I applied Graph Machine Learning for anomaly detection on computer networks. I was also an intern at the Huawei Munich Research Center (🇩🇪), where I studied Graph Neural Networks on heterophilous graphs.

  • 🤓 I received my Master's Degree in Computer Engineering and Artificial Intelligence from Politecnico di Torino.

Top Langs

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  1. SmartData-Polito/GCNH SmartData-Polito/GCNH Public

    Implementation of GCNH, a GNN for heterophilous graphs described in the paper "GCNH: A Simple Method For Representation Learning On Heterophilous Graphs", IJCNN 2023

    Python 10 1

  2. STVNN STVNN Public

    Implementation of STVNN from the paper "Spatiotemporal Covariance Neural Networks", ECML PKDD 2024

    Python 2

  3. DirSNN DirSNN Public

    Implementation of DirSNN from the paper "Higher-Order Topological Directionality and Directed Simplicial Neural Networks"

    Python

  4. Sparse-VNN Sparse-VNN Public

    Implementation of S-VNN from the paper "Sparse Covariance Neural Networks".

    Python