Talks

• [Tutorial] Learning on Graphs Conference (LoG) Italy Meetup. Graph Deep Learning for Time Series Processing. December 2024, Siena, Italy. [link] [slides] [demo]
• [Tutorial] Learning on Graphs Conference (LoG). Graph Deep Learning for Time Series Processing. November 2024, Virtual conference. [link] [slides] [recording] [demo]
• [Keynote] Temporal Graph Learning workshop @ NeurIPS. Graph Deep Learning for Time Series Processing. December 2023, New Orleans, LA, USA. [recording]
• [Seminar] Temporal Graph Reading Group. Graph Kalman Filters. September 2023, Virtual. [link] [recording]
• [Tutorial] European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD). Graph Deep Learning for Spatiotemporal Time Series. September 2023, Turin, Italy. [link] [slides]
• [Seminar] External Literature Club, École polytechnique fédérale de Lausanne (EPFL). AZ-analysis of residual correlation for spatio-temporal predictive models. August 2023, Switzerland, Virtual.
• [Seminar] Frontiers of Machine Learning: Lifelong Learning workshop @ Ital-IA. Learning in Nonstationary Environments: Anomaly and Change Detection in Graph-based Machine Learning. May 2023, Pisa, Italy.
• [Seminar] Colloquium for the GI Dissertation Prize 2021, Leibniz Center for Informatics. Anomaly and Change Detection in Sequences of Graphs. May 2022, Schloss Dagstuhl, Germany.
• [Seminar] CNEL, University of Florida. Concept-drift detection in graph data streams. January 2020, Gainesville, FL, US.
• [Seminar] Workshop Machine Learning and Data Mining @ AI*IA. Concept drift detection in graph datastreams. November 2018, FBK, Trento, Italy.
• [Seminar] EMPS, University of Exeter. Change Detection in Graph Streams. October 2018, Exeter, UK.
• [Seminar] Living Systems Institute, University of Exeter. Detecting Changes in a Stream of Graphs. September 2017, Exeter, UK.