I will be in Vienna for #ICLR2024! Feel free to reach me to chat about Temporal Graph Learning, GNNs, and Network Science. On Wed, I will present "Can Graph Neural Networks learn node-level structural features?" in Poster Session 3! Read the paper here: openreview.net/forum?id=HRxVP…

See you this morning in Halle B, poster #325! #ICLR2024

📢 Exciting news! 🌟 The call for abstracts for the ComplexTime #Satellite at Conference on Complex Systems is officially open! 🚀 If you’re passionate about temporal networks, consider to submit your work! 📝 🗓️Deadline: 24th June 2024 📄One page abstract Read more: sites.google.com/view/complexti…

I am excited to announce that our work titled "Graph Machine Learning for fast product development from formulation trials" has been accepted at ECML PKDD 2024. Great collaboration between our lab and intellico.ai! See you in Vilnius :) #ECMLPKDD2024

Heading to #CCS2024 ? Are you passionate about temporal networks? Consider to submit your work to ComplexTime #Satellite! We also welcome works that will be presented at the main conference! 🗓️Deadline: 24th June 2024 📄One page abstract Read more: tinyurl.com/nhhfckne

We are extending the deadline to both of our CCS Conference on Complex Systems satellites! New deadline 5th July. 👩‍💻Software and Data for Complex Systems: sites.google.com/view/sdcs24/ho… ⏳ComplexTime: sites.google.com/view/complexti… (N.B. Notification will be given before the early bird deadline)

Planning to attend #CCS2024? Don’t miss your chance to submit your work to the ComplexTime - temporal aspects in complex systems #Satellite! 🗓️ New Deadline: July 5, 2024 📄 One-page abstract (New or accepted at the main conference) (Notification before early bird deadline)

🚀 Exciting news! The speaker lineup for our #ComplexTime workshop at the Conference on Complex Systems is live! 🌟 We’re thrilled to have 2 invited talks by Carolina Mattsson and Naomi Arnold and showcase 4 cutting-edge contributions. Join us on September 2nd in the afternoon #CCS2024

ComplexTime is debuting tomorrow at Conference on Complex Systems!! 🙌🎉 Head over to Room 12 in the afternoon for all things temporal networks/dynamics on networks! sites.google.com/view/complexti…

Presenting 'Mining, Modeling and Analysing Decentralised Social Media' tutorial at #ASONAM24 with Lucio La Cava - @[email protected] was so fun! I focused on Mining the Web3 through Graph Evolution Rules, introducing GERANIO - a framework to apply GERs, take a look here: tinyurl.com/yvjsc2ma

I will be in Vilnius for ECML PKDD! Feel free to reach me to chat about Temporal Graph Learning, GNNs, and Network Science. Just to feel like a rock star on tour, I resume all my orals and poster sessions in this post :D See you there :) #ECMLPKDD

#ECMLPKDD This afternoon we will present our work at the MLG workshop! Join us in the poster hall to discuss how graph ml can help R&D by suggesting new recipes and reducing the waste of materials!  Full paper here: tinyurl.com/32mfdpd9

Thanks to everyone who stopped by yesterday, we had super interesting chats! We are also happy to announce that we won the MLG best poster award! This afternoon we will be live again for the poster session of the main conference! #ECMLPKDD

This afternoon I will also present "Graph Machine Learning for Web3 social network analysis" at the phd forum! Join me in the poster hall to discover my recent works on temporal graph learning ✨ #ECMLPKDD

🚀 The MLH'24 Workshop ECML PKDD is just around the corner! ✨ 🗓️ Save the date for our first keynote by Prof. Ingo Scholtes about #HigherOrderModels of #CausalTopologies in #TemporalNetworks ⏰ September 13 at 2:00pm EEST 👉🏼 More info: mlh2024.di.unito.it/keynote-speake… Ingo Scholtes

We are glad to announce that the Learning on Graphs Conference 2024 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 : sites.google.com/u/0/d/1XCyjW-u… #log #graphs #graphlearning #ml #siena #gnn

PyG 2.6 is here, including new models and examples on how to combine GNNs with LLMs! Thanks to many contributors who have made this release possible. Full release notes👇 github.com/pyg-team/pytor…