We propose an alternative to symbol-permutation data augmentations for structured problem-solving tasks: By introducing a dedicated symbol axis into the recurrent state tensors of RRMs and using an attention-based design, SEβRRMs can inherently preserve symbol eq. when needed.
03.03.2026 14:36 β
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Really nice to see ConGLUDe bringing together structureβ and ligandβbased training in a single contrastive geometric architecture. Love that it builds upon VN-EGNN, that very recently appeared in the Journal of Cheminformatics (doi.org/10.1186/s133...).
15.01.2026 14:13 β
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Unfortunately the original Tox21 Challenge dataset benchmark was redefined in other studies, which limits comparability of the performance of different prediction methods.
Now my colleagues have created a reproducible leaderboard hosted on Hugging Face.
19.11.2025 08:08 β
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It's happening again!!!
ML4Molecules workshop 2025.
within the #ELLIS Unconference, preceding #EurIPS.
More infos: moleculediscovery.github.io/workshop2025/
23.09.2025 06:12 β
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Happy to introduce π₯LaM-SLidEπ₯!
We show how trajectories of spatial dynamical systems can be modeled in latent space by
--> leveraging IDENTIFIERS.
πPaper: arxiv.org/abs/2502.12128
π»Code: github.com/ml-jku/LaM-S...
πBlog: ml-jku.github.io/LaM-SLidE/
1/n
22.05.2025 12:24 β
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MHNfs: Prompting In-Context Bioactivity Predictions for Low-Data Drug Discovery
Todayβs drug discovery increasingly relies on computational and machine learning approaches to identify novel candidates, yet data scarcity remains a significant challenge. To address this limitation,...
Need to predict bioactivity π§ͺ but only have limited data β?
Try our interactive app for prompting MHNfs β a state-of-the-art model for few-shot moleculeβproperty prediction. No coding or training needed. π
π Paper:
pubs.acs.org/doi/10.1021/...
π₯οΈ App:
huggingface.co/spaces/ml-jk...
13.05.2025 08:27 β
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ML for molecules and materials in the era of LLMs [ML4Molecules]
ELLIS workshop, HYBRID, December 6, 2024
The Machine Learning for Molecules workshop 2024 will take place THIS FRIDAY, December 6.
Tickets for in-person participation are "SOLD" OUT.
We still have a few free tickets for online/virtual participation!
Registration link here: moleculediscovery.github.io/workshop2024/
03.12.2024 12:35 β
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Thank you!
20.11.2024 09:17 β
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Hi Willie, could I join your list as well?
19.11.2024 10:54 β
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