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
- 分子建模论文从 2023 年的 137 篇增长到 2026 年的 373 篇,三年间扩大到约 2.7 倍。
- NeurIPS 是发分子建模论文最多的会议,2023–2026 年共 351 篇,占四个会议总量的 34%。
- 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences:同时属于两个主题的论文从 2023 年的 5 篇增至 2026 年的 59 篇。
- 在「图与结构化数据」的 5 个主题里,它的 2026 年论文数排第 3;同组增长最快的时间序列是 3.2 倍,分子建模是 2.7 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 27 | 44 | 21 | 45 | 137 |
| 2024 | 78 | 38 | 60 | 31 | 207 |
| 2025 | 132 | 80 | 63 | 46 | 321 |
| 2026 | 114 | 90 | 107 | 62 | 373 |
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
- NeurIPS 2026Atomic Trajectory Modeling with State Space Models for Biomolecular Dynamics
- ICML 2026Controlled SDEs for Long-Horizon Motion Generation under Latent Decision Uncertainty
- ICLR 2026A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction
- CVPR 2026CARE A Molecular-Guided Foundation Model with Adaptive Region Modeling for
- NeurIPS 20253D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
- ICML 2025BAnG: Bidirectional Anchored Generation for Conditional RNA Design
- ICLR 20253D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling
- CVPR 2025Bridging Gait Recognition and Large Language Models Sequence Modeling
- NeurIPS 20244DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
- ICML 2024An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation
- ICLR 2024$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation
- CVPR 2024EVS-assisted Joint Deblurring Rolling-Shutter Correction and Video Frame Interpolation through Sensor Inverse Modeling
- NeurIPS 2023Learning Invariant Molecular Representation in Latent Discrete Space
- ICML 2023Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies
- ICLR 2023$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling
- CVPR 2023BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling
- NeurIPS 2026CausalBind: Causal Modeling and Learning for Protein-Molecule Virtual Screening
- ICML 2026Efficient Continuous-Depth Modeling with GRU Equivalents
- ICLR 2026Anime-Ready: Controllable 3D Anime Character Generation with Body-Aligned Component-Wise Garment Modeling
- CVPR 2026Continuous Exposure-Time Modeling for Realistic Atmospheric Turbulence Synthesis
全部分子建模论文
共 90 篇,第 2 / 2 页
- ICLR 2026MoM: Linear Sequence Modeling with Mixture-of-Memories
- ICLR 2026Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of Experts
- ICLR 2026MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioning
- ICLR 2026NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
- ICLR 2026Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
- ICLR 2026OmniWorld: A Multi-Domain and Multi-Modal Dataset for 4D World Modeling
- ICLR 2026On the Thinking-Language Modeling Gap in Large Language Models
- ICLR 2026One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration
- ICLR 2026Pareto Variational Autoencoder
- ICLR 2026Partition Generative Modeling: Masked Modeling Without Masks
- ICLR 2026PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting
- ICLR 2026Physics-Inspired All-Pair Interaction Learning for 3D Dynamics Modeling
- ICLR 2026PonderLM: Pretraining Language Models to Ponder in Continuous Space
- ICLR 2026Quotient-Space Diffusion Model
- ICLR 2026Revela: Dense Retriever Learning via Language Modeling
- ICLR 2026Revisiting Long-context Modeling from Context Denoising Perspective
- ICLR 2026Robust Reward Modeling via Causal Rubrics
- ICLR 2026Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics
- ICLR 2026Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining
- ICLR 2026Should We Still Pretrain Encoders with Masked Language Modeling?
- ICLR 2026SoFlow: Solution Flow Models for One-Step Generative Modeling
- ICLR 2026Steerable Adversarial Scenario Generation through Test-Time Preference Alignment
- ICLR 2026STORM: Synergistic Cross-Scale Spatio-Temporal Modeling for Weather Forecasting
- ICLR 2026Structural Prognostic Event Modeling for Multimodal Cancer Survival Analysis
- ICLR 2026SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling
- ICLR 2026Tackling Heavy-Tailed Q-Value Bias in Offline-to-Online Reinforcement Learning with Laplace-Robust Modeling
- ICLR 2026Take Note: Your Molecular Dataset Is Probably Aligned
- ICLR 2026Teaching Metric Distance to Discrete Autoregressive Language Models
- ICLR 2026Temporally Detailed Hypergraph Neural ODE for Disease Progression Modeling
- ICLR 2026TetraGT: Tetrahedral Geometry-Driven Explicit Token Interactions with Graph Transformer for Molecular Representation Learning
- ICLR 2026Theoretical Modeling of Large Language Model Self-Improvement Training Dynamics Through Solver-Verifier Gap
- ICLR 2026TopoFormer: Topology Meets Attention for Graph Learning
- ICLR 2026ToProVAR: Efficient Visual Autoregressive Modeling via Tri-Dimensional Entropy-Aware Semantic Analysis and Sparsity Optimization
- ICLR 2026Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model
- ICLR 2026TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
- ICLR 2026TriC-Motion: Tri-Domain Causal Modeling Grounded Text-to-Motion Generation
- ICLR 2026Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling
- ICLR 2026Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct
- ICLR 2026Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling
- ICLR 2026Your Language Model Secretly Contains Personality Subnetworks
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"}
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。