Yu Guang Wang

Associate Professor @sjtu1896 in AI + X. PhD @UNSW, Ex-@mpiMathSci, @ipam_ucla, @ICERM. GNN, AI4S, Math

[Cristian Bodnar @crisbodnar]

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 🎉 !

[Alex Rives @alexrives]

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.

[LoG Meetup Paris @LoGMeetupParis]

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

[Learning on Graphs Conference 2026 @LogConference]

✨ 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!

[Learning on Graphs Conference 2026 @LogConference]

🏆 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!

[Learning on Graphs Conference 2026 @LogConference]

🎉 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!

[Petar Veličković @PetarV_93]

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.

[Learning on Graphs Conference 2026 @LogConference]

⏰ 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!

[Benjamin Ricaud @GBR_Data]

Tromsø meetup of @LogConference ongoing. Michele Guerra on temporal graphs😎

[Learning on Graphs Conference 2026 @LogConference]

#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 💜💙❤️

[Learning on Graphs Conference 2026 @LogConference]

Our poster session is happening right now on https://t.co/IXIUsmgcW8, and there are so many cool papers! Drop by 😊

[Learning on Graphs Conference 2026 @LogConference]

See you in LoG 2024!

[Xavier Bresson @xbresson]

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!

[Learning on Graphs Conference 2026 @LogConference]

T-11 hours till LoG 2024!

Register for LoG ASAP to join the discussions on our Slack workspace 💜

[Krishnaswamy Lab @KrishnaswamyLab]

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 !

[Learning on Graphs Conference 2026 @LogConference]

📢 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

[Learning on Graphs Conference 2026 @LogConference]

🚨 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

[Alvaro Arroyo @arroyo_alvr]

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! :-)

[Learning on Graphs Conference 2026 @LogConference]

Looks like a beautiful venue and beautiful logo!

LoGsford meetup? 😂