分子建模论文趋势 2023–2026

分子性质与生成

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,038 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

分子建模论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202327442145137
202478386031207
2025132806346321
20261149010762373

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部分子建模论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 78 篇，第 1 / 2 页

  1. NeurIPS 20244DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
  2. NeurIPS 2024A probability contrastive learning framework for 3D molecular representation learning
  3. NeurIPS 2024Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
  4. NeurIPS 2024Approximation Rate of the Transformer Architecture for Sequence Modeling
  5. NeurIPS 2024AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
  6. NeurIPS 2024Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
  7. NeurIPS 2024Block Transformer: Global-to-Local Language Modeling for Fast Inference
  8. NeurIPS 2024Bridging Geometric States via Geometric Diffusion Bridge
  9. NeurIPS 2024Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation
  10. NeurIPS 2024CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts
  11. NeurIPS 2024Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling
  12. NeurIPS 2024CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
  13. NeurIPS 2024Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
  14. NeurIPS 2024Decomposable Transformer Point Processes
  15. NeurIPS 2024Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
  16. NeurIPS 2024Discrete Flow Matching
  17. NeurIPS 2024Discrete Modeling via Boundary Conditional Diffusion Processes
  18. NeurIPS 2024EigenVI: score-based variational inference with orthogonal function expansions
  19. NeurIPS 2024Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation
  20. NeurIPS 2024ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
  21. NeurIPS 2024Exploring Molecular Pretraining Model at Scale
  22. NeurIPS 2024eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling
  23. NeurIPS 2024Extracting Training Data from Molecular Pre-trained Models
  24. NeurIPS 2024Fisher Flow Matching for Generative Modeling over Discrete Data
  25. NeurIPS 2024FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
  26. NeurIPS 2024From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach
  27. NeurIPS 2024From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS
  28. NeurIPS 2024Gated Slot Attention for Efficient Linear-Time Sequence Modeling
  29. NeurIPS 2024GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling
  30. NeurIPS 2024Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation
  31. NeurIPS 2024Generalizable Implicit Motion Modeling for Video Frame Interpolation
  32. NeurIPS 2024Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
  33. NeurIPS 2024Generative Modeling of Molecular Dynamics Trajectories
  34. NeurIPS 2024Graph Diffusion Transformers for Multi-Conditional Molecular Generation
  35. NeurIPS 2024I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
  36. NeurIPS 2024Instructor-inspired Machine Learning for Robust Molecular Property Prediction
  37. NeurIPS 2024Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
  38. NeurIPS 2024Large Scale Transfer Learning for Tabular Data via Language Modeling
  39. NeurIPS 2024Learning the Latent Causal Structure for Modeling Label Noise
  40. NeurIPS 2024Learning to Decouple the Lights for 3D Face Texture Modeling
  41. NeurIPS 2024Learning to Predict Structural Vibrations
  42. NeurIPS 2024LG-VQ: Language-Guided Codebook Learning
  43. NeurIPS 2024Light Unbalanced Optimal Transport
  44. NeurIPS 2024Linguistic Collapse: Neural Collapse in (Large) Language Models
  45. NeurIPS 2024LLaMo: Large Language Model-based Molecular Graph Assistant
  46. NeurIPS 2024Mixture of Tokens: Continuous MoE through Cross-Example Aggregation
  47. NeurIPS 2024MoEUT: Mixture-of-Experts Universal Transformers
  48. NeurIPS 2024MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling
  49. NeurIPS 2024Molecule Design by Latent Prompt Transformer
  50. NeurIPS 2024Multistep Distillation of Diffusion Models via Moment Matching

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查分子建模在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "molecular-modeling"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇分子建模论文？
共 1,038 篇，按年份分别是 2023 年 137 篇、2024 年 207 篇、2025 年 321 篇、2026 年 373 篇。
NeurIPS 2026 有多少篇分子建模论文？
NeurIPS 2026 有 114 篇分子建模论文，上一届是 132 篇。
ICLR 2026 有多少篇分子建模论文？
ICLR 2026 有 90 篇分子建模论文，上一届是 80 篇。
ICML 2026 有多少篇分子建模论文？
ICML 2026 有 107 篇分子建模论文，上一届是 63 篇。
CVPR 2026 有多少篇分子建模论文？
CVPR 2026 有 62 篇分子建模论文，上一届是 46 篇。
哪个会议的分子建模论文最多？
NeurIPS，2023–2026 年共 351 篇。

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