Browse State-of-the-Art › Unconditional Molecule Generation
Unconditional Molecule Generation
6 papers with code · 2 benchmarks · 2 datasets archive 2025-07-28
This task evaluates the ability of generative models to sample valid and realistic molecular structures.
The training dataset can be: - QM9 (Wu et al., 2018) - consists of 130,000 stable small organic molecules containing up to nine heavy atoms (C, N, O, F) along with hydrogens. - GEOM-DRUGS (Axelrod and Gómez-Bombarelli, 2022) - consistes of 430,000 large organic molecules of up to 180 atoms.
Following prior work (Hoogeboom et al., 2022), we generally sample 10,000 molecules and compute validity, uniqueness and Posebusters sanity checks (Buttenschoen et al., 2024) for molecules. Data is generally split following prior work (Hoogeboom et al., 2022, Vignac et al., 2023) to ensure fair comparisons.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| GEOM-DRUGS (5 rows) | TABASCO | TABASCO: A Fast, Simplified Model for Molecular Generation with... | code | — | Compare |
| QM9 (4 rows) | ADiT | All-atom Diffusion Transformers: Unified generative modelling of... | code | Syntology ran 6 of 7 samples · 1 unverified | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
6 shown of 6 papers with code (8 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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31 Mar 2022 4 repositories listed Syntology ran 7 of 13 samples · 6 unverified · 2 pointer-only (licence)This work introduces a diffusion model for molecule generation in 3D that is equivariant to Euclidean transformations.
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2 May 2023 2 repositories listed Syntology ran 4 of 9 samples · 5 unverifiedGenerative models, especially diffusion models (DMs), have achieved promising results for generating feature-rich geometries and advancing foundational science problems such as molecule design.
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5 Mar 2025 1 repository listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)We introduce the All-atom Diffusion Transformer (ADiT), a unified latent diffusion framework for jointly generating both periodic materials and non-periodic molecular systems using the same model: (1) An autoencoder…
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4 Oct 2024 1 repository listed Syntology ran 9 of 13 samples · 4 unverified · 13 pointer-only (licence)Compared to directly generating a molecule, the relatively easy-to-generate representation in the first-stage guides the second-stage generation to reach a high-quality molecule in a more goal-oriented and much faster…
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27 Nov 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedWe present Symphony, an E(3)-equivariant autoregressive generative model for 3D molecular geometries that iteratively builds a molecule from molecular fragments.
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17 Feb 2023 1 repository listed Syntology ran 2 of 13 samples · 11 unverifiedThis work introduces MiDi, a novel diffusion model for jointly generating molecular graphs and their corresponding 3D arrangement of atoms.
Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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