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 and check out our publications.

News

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. Check out also the group GitHub page for code related to our papers.

Spektral

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

Website

CDG

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

GitHub

Torch Spatiotemporal

A library for neural spatiotemporal data processing, with a focus on Graph Neural Networks.

GitHub

DTS

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

GitHub

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