Good Papers

Showing papers from McGill University, University of Toronto Show all papers

86%Must read
?Must readVote to see the score

Neural Proposals, Symbolic Guarantees: Neuro-Symbolic Graph Generative Modeling

A neuro-symbolic framework pairs neural graph proposals with symbolic SMT solvers for hard-constraint satisfaction, achieving over 95% in-distribution and 64, 86% zero-shot rule compliance on the MolSAT benchmark.

Chuqin Geng, Li Zhang, Mark Zhang, Zhaoyue(Rebecca) Wang and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5