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 351 篇，第 7 / 8 页

  1. NeurIPS 2024Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
  2. NeurIPS 2024Paloma: A Benchmark for Evaluating Language Model Fit
  3. NeurIPS 2024Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
  4. NeurIPS 2024Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction
  5. NeurIPS 2024ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
  6. NeurIPS 2024Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
  7. NeurIPS 2024ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
  8. NeurIPS 2024ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field
  9. NeurIPS 2024PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling
  10. NeurIPS 2024RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling
  11. NeurIPS 2024RGFN: Synthesizable Molecular Generation Using GFlowNets
  12. NeurIPS 2024Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
  13. NeurIPS 2024SDformer: Similarity-driven Discrete Transformer For Time Series Generation
  14. NeurIPS 2024Semantic Routing via Autoregressive Modeling
  15. NeurIPS 2024ShowMaker: Creating High-Fidelity 2D Human Video via Fine-Grained Diffusion Modeling
  16. NeurIPS 2024SpaceByte: Towards Deleting Tokenization from Large Language Modeling
  17. NeurIPS 2024Sparse Bayesian Generative Modeling for Compressive Sensing
  18. NeurIPS 2024Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics
  19. NeurIPS 2024SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning
  20. NeurIPS 2024Testing Calibration in Nearly-Linear Time
  21. NeurIPS 2024Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling
  22. NeurIPS 2024Unified Guidance for Geometry-Conditioned Molecular Generation
  23. NeurIPS 2024Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
  24. NeurIPS 2024Variational Flow Matching for Graph Generation
  25. NeurIPS 2023AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling
  26. NeurIPS 2023CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation
  27. NeurIPS 2023ChessGPT: Bridging Policy Learning and Language Modeling
  28. NeurIPS 2023Domain Agnostic Fourier Neural Operators
  29. NeurIPS 2023DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein
  30. NeurIPS 2023Efficient Activation Function Optimization through Surrogate Modeling
  31. NeurIPS 2023Equivariant flow matching
  32. NeurIPS 2023Evaluating Self-Supervised Learning for Molecular Graph Embeddings
  33. NeurIPS 2023FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
  34. NeurIPS 2023Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense
  35. NeurIPS 2023Hierarchically Gated Recurrent Neural Network for Sequence Modeling
  36. NeurIPS 2023Improving Self-supervised Molecular Representation Learning using Persistent Homology
  37. NeurIPS 2023Learning Invariant Molecular Representation in Latent Discrete Space
  38. NeurIPS 2023Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
  39. NeurIPS 2023Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network
  40. NeurIPS 2023Optimizing over trained GNNs via symmetry breaking
  41. NeurIPS 2023ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab
  42. NeurIPS 2023Recasting Continual Learning as Sequence Modeling
  43. NeurIPS 2023Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
  44. NeurIPS 2023ReTR: Modeling Rendering Via Transformer for Generalizable Neural Surface Reconstruction
  45. NeurIPS 2023Scalable Transformer for PDE Surrogate Modeling
  46. NeurIPS 2023Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces
  47. NeurIPS 2023SE(3) Equivariant Augmented Coupling Flows
  48. NeurIPS 2023Should We Learn Most Likely Functions or Parameters?
  49. NeurIPS 2023TabMT: Generating tabular data with masked transformers
  50. NeurIPS 2023Trans-Dimensional Generative Modeling via Jump Diffusion Models

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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