Almost exactly two years after we started working on this at Microsoft, I am happy to see the Aurora foundation being published in Nature. Also a nice gift for Silurian's one-year anniversary 🎉 !
Introducing ESM Cambrian.
Unsupervised learning can invert biology at scale to reveal the hidden structure of the natural world.
We’ve scaled up compute and data to train a new generation of protein language models. ESM C defines a new state of the art for protein representation learning.
We’re back with the second session. @PascalWelke is giving a keynote on: “Expressive Graph Embeddings via Homomorphism Counting” 🚀 Join us in person and online 🤩 #LoG2024@LogConference#Paris
✨ Top Reviewers of LoG 2024 ✨
Thank you to our incredible reviewers who went above and beyond to provide thoughtful and constructive feedback! 🙏
👏 Your efforts are the backbone of LoG’s success!
🏆 Best Paper Award & Honorable Mention 🏆
Congratulations to our outstanding authors for their exceptional contributions to LoG 2024! 🎉
📜 Your work inspires the entire graph and geometric ML community!
🎉 LoG 2024 has officially concluded!
🙏A heartfelt THANK YOU to everyone—speakers, attendees, authors, reviewers, local meetup organizers, and everyone who contributed their time and expertise.
📅 See you in-person at LoG 2025!
Thanks so much @LogConference for the third AC recognition in a row! 😊
It's worth calling out that the decisions ACs have to make are often non-trivial (most papers are on the borderline!) and can have far-reaching consequences.
More conferences should recognise good AC work.
⏰ Tutorial "Neural Algorithmic Reasoning II: From Graphs to Language" starting soon!
🚀 Organizers: Petar Veličković, Olga Kozlova, Federico Barbero, Larisa Markeeva, Alex Vitvitskyi, Wilfried Bounsi
🏠Website: https://t.co/rtOmwd5Yso
📍 Join us on Zoom, YouTube, or Slack!
#LoG2024 Day 2 is a blast so far! We have a fantastic program:
⚙️ an exciting tutorial on Geometric Generative Models
🎙️ second keynote by Zachary Ulissi
🕸️ second session of oral presentations
🤗 first poster session
Details and links: https://t.co/Js9FSm6WTl 💜💙❤️
I will give a talk at the @LogConference on "Integrating Graph Neural Networks and Large Language Models".
The conference is virtual, free to attend, live-streamed, and recorded.
https://t.co/PwtgTz0Z4a
Hope to see you there!
Pics from @LogConference meetup in Montreal where we heard about non-equivariance for breaking symmetries and use of graphs in combinatorial optimization, architecture and materials !
📢 The first LoG keynote by Yusu Wang (Prof @HDSIUCSD) has started!
Topic: Size (OOD) Generalization of Neural Models via Algorithmic Alignment
Exploring how neural models can provably generalize to inputs of arbitrary sizes by aligning with algorithmic structures. 🚀 #LoG2024
🚨 The 3rd LoG Conference kicks off TODAY at 14:30 GMT! 🚀
📚 14:30: Tutorial on Integrating Knowledge Graphs & Large Language Models
🎉 16:00: Welcome & Awards (Best Paper, Best AC, Best Reviewer)
👨����16:30: Keynote by Prof. Yusu Wang on Algorithmic Alignment & OOD Generalization
Thank you to everyone who came to the @LogConference meetup in Oxford yesterday!
Also, shoutout to @jacobbamberger @TeoReu@epomqo@mmbronstein for co-organizing and making this possible! :-)