Ivan Marisca

PhD Student at IDSIA @USI_university 🇨🇭
Machine Learning on spatiotemporal data 🚀⏳
@GMLG_Lugano

[Ivan Marisca @IvanMarisca]

Tomorrow at 5 pm CET, I'll be presenting my latest paper "Over-squashing in Spatiotemporal Graph Neural Networks" (NeurIPS 2025) at the @tempgraph_rg (w/ @jacobbamb).

Check it out: https://t.co/GsQueLSFVX

[temporal graph learning reading group @tempgraph_rg]

The Temporal Graph Learning Reading Group is back from Winter Break ❄️

See you on Feb 5th, 11am EST

@IvanMarisca will present: Over-squashing in Spatiotemporal Graph Neural Networks (NeurIPS 2025)

more info on our website

[temporal graph learning reading group @tempgraph_rg]

The Temporal Graph Learning Reading Group is back from Winter Break ❄️

See you on Feb 5th, 11am EST

@IvanMarisca will present: Over-squashing in Spatiotemporal Graph Neural Networks (NeurIPS 2025)

more info on our website

[Daractenus @Daractenus]

It took a European journalist to finally ask this neo-nazi monster the kind of questions American journalists have failed to ask her on a daily basis for almost a year now.

[Melanie D'Arrigo @DarrigoMelanie]

It truly is a failure of our society that a man worth $640 billion is allowed to spend his days broadcasting lies and conspiracy theories to incite hate to hundreds of millions of people on a platform where he controls what you see, when you see it, completely unchecked.

[Valentina Moretti @Vale__moretti]

Tomorrow, I’ll present our work “What Matters in Deep Learning for Time Series Forecasting?” at the #EurIPS workshop on Benchmarking and Evaluating AI. Come by for a chat if you’re around!
Many thanks to @andreacini1994 , @IvanMarisca , and Cesare Alippi

[Andrea Cini @andreacini1994]

🎉 Honored to receive the Informatics Europe Best Dissertation Award 2025 for my PhD thesis!

Beyond grateful to my advisor Cesare, my amazing collaborators, and all the people at @USI_university!

🙏🙏

🔗 https://t.co/w6WlfdbkZN

[Antonio Norelli @noranta4]

How to tamper with a gas meter to pay lower bills?

This is the story of how a supposedly aligned open source LLM, perhaps not even knowing how to do it, will give you the right instructions. (1/3)
https://t.co/2SzbatO3mq

[Jacob Bamberger @jacobbamb]

🚨 ICML 2025 Paper 🚨

"On Measuring Long-Range Interactions in Graph Neural Networks"

We formalize the long-range problem in GNNs:
💡Derive a principled range measure
🔧 Tools to assess models & benchmarks
🔬Critically assess LRGB

🧵 Thread below 👇
#ICML2025

[Filippo Maria Bianchi @FilippoMariaBi1]

🚨 Exciting news! We released 🎱 tgp (Torch Geometric Pool), the library for pooling in Graph Neural Networks.

🚀 Get started with our tutorials: https://t.co/Zhkp551VVv

With @IvanMarisca and Carlo Abate.

#GraphML #GNN #Pooling #Pyg

[Andrea Cini @andreacini1994]

Freshly accepted as a tutorial paper in ACM Computing Surveys! 🥳

Check out the updated version: https://t.co/bboAZQSFmA

cc @IvanMarisca @dan_zambon

[Filippo Maria Bianchi @FilippoMariaBi1]

🔥 Bayesian nonparametrics meets pooling in GNNs! 🔥

This is the first clustering-based pooling method that learns and dynamically adapts the size of the pooled graph to input and downstream task.

📄 paper: https://t.co/SwGSHLyFzE
💻 code: https://t.co/WxjydvFaIz

[Learning on Graphs Conference 2026 @LogConference]

3. Graph Deep Learning for Time Series Processing: Forecasting, Reconstruction, and Analysis by @andreacini1994, @IvanMarisca, @dan_zambon

4. Integrating Knowledge Graphs and Large Language Models for Advancing Scientific Research by @qzhang_cs, @ChenJiaoyan1, @mengzaiqiao

[The Nobel Prize @NobelPrize]

BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”

[Ivan Marisca @IvanMarisca]

A pleasure co-advising such great students 👏

[Graph Machine Learning Lugano @GMLG_Lugano]

Congratulations to Valentina Moretti for brilliantly defending her MSc thesis at USI 👏
Valentina will join us as a PhD student in November. Looking forward to having you on board! 💪

[Andrea Cini @andreacini1994]

In a few hours, I will present HiGP at #ICML2024 😊

If you are interested in how to exploit graph-based representations and hierarchical clustering to forecast correlated time series, come and say hi at poster #907 from 1:30 to 3:00 PM 😉

[Ivan Marisca @IvanMarisca]

@FilippoMariaBi1 @alfcnz looking forward to your feedback on our poster! 😉

[Filippo Maria Bianchi @FilippoMariaBi1]

Come to visit me and @IvanMarisca tomorrow at the first poster session (11:30-13:00 - Hall C) as we present our paper #1016!

#ICML2024

[Ivan Marisca @IvanMarisca]

@claudiogallicc1 @FilippoMariaBi1 Thanks Claudio, see you at the conference!

[Ivan Marisca @IvanMarisca]

🧵 Ready for #ICML2024!

This year me and @FilippoMariaBi1 present a method to forecast correlated time series with missing data. We compute a hierarchy of multi-scale spatiotemporal representations and adaptively combine them conditioned on the missing data pattern👇

[Ivan Marisca @IvanMarisca]

@FilippoMariaBi1 4/ Two bonus features:

⚡️ The scalability is given by factorized time-then-space processing and precomputed downsampling operators.

🔍 Gain insights on the scales through the scores! 👇