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Veronica Lachi Profile
Veronica Lachi

@LachiVeronica

Followers
311
Following
181
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5
Statuses
30

PhD student, University of Siena 🇮🇹 Visiting PhD student, University of Tromsø 🇳🇴 GNN, GDL

Sienna, Tuscany
Joined April 2021
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@AntonioLonga94
Antonio Longa
10 months
🚀 How much can Network Science boost AI? And vice versa? 🤔 Join HONS meets AI workshop at #NetSci2025 to explore these questions! 📢 Submit your work & be part of the discussion! https://t.co/O3Jc59PupD with @alessiaantelmi @ManuelDileo @VincentPGrande @yllka_velaj @vins23p
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@cate_graz
Caterina Graziani
1 year
Gentle reminder for those interested in the Italian @LogConference meetup: submissions close at the end of this week! 📅 Submit your abstract here:
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Call for Posters The meetup will host a local poster session (independent from the main event). We welcome posters from areas broadly related to learning on graphs and geometry. Poster abstracts must...
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@FilippoMariaBi1
Filippo Maria Bianchi
1 year
🤔 How to interpret spatio-temporal data and deep learning models? 💡In our recent work with Michele Guerra and @s_scardapane we leverage Koopman theory to design an XAI framework for spatio-temporal GNNs. 📄 Preprint: https://t.co/cThmDCIgqM 💻 Code: https://t.co/N74aF8bCT8
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@cate_graz
Caterina Graziani
1 year
We are glad to announce that the @LogConference Italian meet-up will be hosted in Siena! 🇮🇹✨️ 🗓️ Join us from December 4th to 6th. 🔜 Registration will open soon! 👉 For more information visit our website : https://t.co/bN7ehxSpJ2 #log #graphs #graphlearning #ml #siena #gnn
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@IvanMarisca
Ivan Marisca
1 year
🧵 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👇
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@AntonioLonga94
Antonio Longa
1 year
🚀Interested in link prediction? Discover how a simple GNN can learn structural link representation! 📜A Simple and Expressive GNN Method for Structural Link Representation @LachiVeronica will present it at @GRaM_workshop (@icmlconf) @franciferrini_ @brulepri @andrea_whatever
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@MobS_FBK
MobS Group @ FBK
2 years
🚨Today is the turn of Veronica Lachi! @LachiVeronica 👀Veronica is a Researcher working on Graph Neural Networks, with a special interest in their theoretical properties. She is particularly interested in the expressiveness of GNNs and GNNs for temporal graphs.
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@cate_graz
Caterina Graziani
2 years
Join our exclusive AI4BA Summer School and catch the opportunity to live a study-week immersed in the Tuscanian hills! AI for Biomedical Applications 🕒24-28 June 2024 📍Siena Only 14 spots available! Visit the AI4BA site! 👉🏽 https://t.co/oaem8kN0hC And submit your application!
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Photo by Franco Scarselli
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@tempgraph_rg
temporal graph learning reading group
2 years
🌟 Join us this week, thursday Feb 29th, 11am EST, as Veronica Lachi @LachiVeronica presents "Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities". Don't miss out! 🚀 [Link: https://t.co/Ycba8SILUG]
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@cate_graz
Caterina Graziani
2 years
To the @NeurIPSConf Folks! Can path-aggregation increase the expressive power of GNNs? Come visit our poster at #GLFrontiers to find this out (and to appreciate the creativity of @geneticpizza)! 11.30 in HALL C2 ;) #NeurIPS2023 #GLFrontiers
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@FilippoMariaBi1
Filippo Maria Bianchi
2 years
Join us at the #NeurIPS2023 poster session this afternoon where @LachiVeronica and I will present the poster of our paper, "The Expressive Power of Pooling in Graph Neural Networks". See you at poster #822 from 5:00 PM to 7:00 PM
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@FilippoMariaBi1
Filippo Maria Bianchi
2 years
First evening in New Orleans at #NeurIPS 2023 with @andreacini1994, @LachiVeronica, @dan_zambon, @IvanMarisca and many more awesome colleagues!
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@netplace_semi
NetPlace
2 years
Hey NetPALS, have you ever wondered what Graph Neural Networks (GNNs) are? In our last seminar, @LachiVeronica from the University of Siena covered this topic extensively in her talk “Machine Learning for Graphs: Hot Trends and Emerging Frontiers”.[1/4]
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@netplace_semi
NetPlace
2 years
Join us on Thursday with our speaker @LachiVeronica !
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@LachiVeronica
Veronica Lachi
2 years
🚀Exciting news! "The Expressive Power of Pooling in Graph Neural Networks" by @FilippoMariaBi1 and me, has been accepted at @NeurIPSConf and it's been chosen as one of the top 4 papers for an oral presentation at #mlg workshop during @ECMLPKDD! #NeurIPS2023 #GNN 📚 💻
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@AntonioLonga94
Antonio Longa
2 years
Attended a captivating session at the #MLG workshop during @ECMLPKDD, exploring "The Expressive Power of Pooling in Graph Neural Networks" authored by @FilippoMariaBi1 & presented by @LachiVeronica. paper: https://t.co/QlNKpfwaqU
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@LachiVeronica
Veronica Lachi
2 years
Exciting news for all #GraphEnthusiasts! Join us in Trento from Nov 27-30 for a local meetup of the #LoG Conference. Connect with researchers, stay updated on the latest in graph learning, and foster collaboration. Register by Nov 19! Learn more at
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Italy meetup of the Learning on Graph Conference, an annual research event in machine learning on graphs and geometry 27th – 30th November
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@TmlrPub
Accepted papers at TMLR
2 years
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities Antonio Longa, Veronica Lachi, Gabriele Santin et al.. Action editor: Shinichi Nakajima. https://t.co/bIvHRByGCw #temporal #graphs #graph
openreview.net
Graph Neural Networks (GNNs) have become the leading paradigm for learning on (static) graph-structured data. However, many real-world systems are dynamic in nature, since the graph and node/edge...
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@andreacini1994
Andrea Cini
2 years
📢 New preprint out! Introducing HiGP, a framework unifying graph pooling with hierarchical time series forecasting. Our end-to-end approach allows for clustering and forecasting time series at multiple levels of aggregation. Check it out: https://t.co/XXUMa21vQR
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