Papers with Code 아카이브
Multi-step retrosynthesis
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 5
These leaderboards are used to track progress in Multi-step retrosynthesis.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DirectMultiStep: Direct Route Generation for Multi-Step Retrosynthesis
Re-evaluating Retrosynthesis Algorithms with Syntheseus
Evolutionary Retrosynthetic Route Planning
RetroBridge: Modeling Retrosynthesis with Markov Bridges
Retrosynthetic Planning with Dual Value Networks
Recent advances in artificial intelligence for retrosynthesis
Mind the Retrosynthesis Gap: Bridging the divide between Single-step and Multi-step Retrosynthesis Prediction
MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
RetroGraph: Retrosynthetic Planning with Graph Search
Retrosynthetic Planning with Experience-Guided Monte Carlo Tree Search
Self-Improved Retrosynthetic Planning
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
Learning retrosynthetic planning through self-play
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.