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andrea-cavallo-98/README.md

๐Ÿ‘‹ Hi there!

  • ๐Ÿ“š I am a PhD student at TU Delft (๐Ÿ‡ณ๐Ÿ‡ฑ), where I work on learning and processing over

    • ๐Ÿ“ˆ time series and dynamic graphs ๐Ÿ“‰
    • ๐Ÿ”บ higher-order networks and topologies ๐Ÿ”ป
  • ๐Ÿ• Previously, I worked as a Research Assistant at Politecnico di Torino (๐Ÿ‡ฎ๐Ÿ‡น), where I applied Graph Machine Learning for anomaly detection on computer networks. I was also an intern at the Huawei Munich Research Center (๐Ÿ‡ฉ๐Ÿ‡ช), where I studied Graph Neural Networks on heterophilous graphs.

  • ๐Ÿค“ 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 9 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