LoG is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.
🚨 Early registration for LoG 2025 ends Nov 10!
📍 Arizona State University (Phoenix, AZ)
🧑🏫 For each accepted paper/tutorial, ≥1 author must attend in person: logconference.org/cfp/#atten…
🎟️ $120 early rate (full access + catering) → logconference.org/register/
📢LoG 2025 Registration📢
👤 Venue: Arizona State University, Phoenix, AZ
🚨 For each accepted paper/tutorial, at least one author must attend in person: logconference.org/cfp/#atten…
🔗 Registration details: logconference.org/register/
📢Submission deadline update📢
As we noticed there was an issue in the previous submission deadline reported on OpenReview, we decided to extend the deadline to August 24, 2025 (23:59 AoE). We’re sorry for the inconvenience!
🏆 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!
🌟 Top Area Chairs & Honorable Mentions 🌟
A big shoutout to the amazing ACs who ensured high-quality reviews and discussions! 🙌
👏 Thank you for your dedication to the LoG 2024 community!
✨ 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!
📢 We’re live on YouTube! 🎥
Join us now for the ongoing LoG 2024 tutorial: Graph Deep Learning for Time Series Processing: Forecasting, Reconstruction, and Analysis.
👉 Watch here: piped.video/watch?v=SqBGB3b3…
Don’t miss out! 💡
✨EXCITING NEWS! Registration for the 3rd Learning on Graphs conference is now open 📷 It is virtual, free to attend, livestreamed, and recorded 📷forms.gle/eYiDCopJGUc8pxgX8
🌍 Excited to share worldwide Active Meetups for the Learning on Graphs Conference 2024! Connect locally, discuss cutting-edge research, and collaborate globally in ML on graphs & geometry. Find your meetup here: logconference.org/💡#LOG2024#GraphML#Networking
✨EXCITING NEWS! Registration for the 3rd Learning on Graphs conference is now open 😊
It is virtual, free to attend, livestreamed, and recorded 📹 Sign up today!
forms.gle/eYiDCopJGUc8pxgX8
ALT Screen capture of LoG website. The conference is Nov 26-29, 2024. See our website for more details: https://logconference.org/.
⏰The deadline for abstract submission to the @LogConference is almost here:
2⃣days and 2⃣2⃣ hours left!
⏳Don't miss out and please submit your abstracts!
logconference.org/cfp/
Each week, we want to highlight @LogConference papers!
✨ Check out "Systematic Evaluation of Node Embedding Robustness" by Alexandru Mara, @jlijffijt, Stephan Günnemann, and @TijlDeBie.
proceedings.mlr.press/v198/m…
ALT Screenshot of title, authors, and abstract of paper from PDF.
Each week, we want to highlight @LogConference
papers!
Check out "Taxonomy of Benchmarks in Graph Representation Learning" by Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, et al. proceedings.mlr.press/v198/l…
ALT Screenshot of title, authors, and abstract of paper from PDF.
🚀 Great news! The @LogConference 2023 proceedings are now available on PMLR: proceedings.mlr.press/v231/ — thanks to the entire community!
We also have some exciting updates about the next edition of LoG, coming soon... ⌛️
ALT Screenshot of the proceedings page for LoG 2023. The page reads "PMLR Proceedings of Machine Learning Research Volume 231: Learning on Graphs Conference, 27-30, November 2023, Virtual Editors: Soledad Villar, Benjamin Chamberlain."
In 30 minutes, we will start the 4th and final day of LoG 2023:
📣 3 excellent orals on graph compression, positional encodings, and molecular GNNs
🗝️ A super exciting keynote by @KyleCranmer
⚙️ An extensive tutorial on GNNs for recommendation systems
🙏 Closing remarks
In 30 minutes, we will start the 4th and final day of LoG 2023:
📣 3 excellent orals on graph compression, positional encodings, and molecular GNNs
🗝️ A super exciting keynote by @KyleCranmer
⚙️ An extensive tutorial on GNNs for recommendation systems
🙏 Closing remarks
Welcome to LoG 2023, day 3 -- today we have:
🏠 Networking on GatherTown
🎤 Stefanie Jagelka's keynote
🌟 3x oral presentations on homophily, multi-relational GNNs, and cell complexes
See you soon!
The oral presentations today are exploring algorithmic reasoning, alignment, and theoretical foundations of GNNs -- super exciting ideas!
Maybe algorithmic GNNs hold the key for reasoning in LLMs? ;)
On Day 2 of LoG 2023, we have:
🧬 an exciting keynote by @loukasa_tweet from @PrescientDesign on GDL for protein design
🏠 the second poster session on GatherTown
🚀 algorithmically themes oral presentations (see below)
⚖️ tutorial on how to scale up your GNN
See you there!
Thank you @jure for an inspiring keynote and for engaging with all the questions from the community!
Its exciting to hear about a new field being born
** Relational Deep Learning **
RelBench: relbench.stanford.edu/
@jure is talking about something that he has been working on for 2 years very quietly, and its so exciting that he is announcing it to the world at LoG!
Tune in now!