About GMLG

We are a research team part of the Swiss AI Lab (IDSIA) at Università della Svizzera italiana, Lugano, Switzerland. The group is led by Prof. Cesare Alippi.

Meet our team.

Research

Our research focuses on graph machine learning, non-stationary environments, dynamical systems, and reinforcement learning.
We also apply machine learning in many diverse fields, including neuroscience, power grids, chemistry, and agriculture, among many others.

See the complete list of our publications.

Open Source

Our group is active in open source software development and we maintain several Python libraries based on our research.

  • Spektral

    A library for building graph neural networks in Keras and Tensorflow.

  • CDG

    A Python library for detecting changes in stationarity in sequences of graphs.

  • DTS

    A Keras library that provides multiple deep architectures for multi-step time-series forecasting.

The development of Spektral and CDG was supported by project ALPSFORT (200021 172671) of the Swiss National Science Foundation.