深度学习 · graph neural networks论文趋势 2023–2026

ICML/NeurIPS 深度学习方向：graph_neural_networks

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,648 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

深度学习 · graph neural networks论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20234896814823728
2024160517610297
2025915014115297
20261023216824326

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

全部深度学习 · graph neural networks论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 728 篇，第 7 / 15 页

  1. NeurIPS 2023Binary Radiance Fields
  2. NeurIPS 2023Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training
  3. NeurIPS 2023Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization
  4. NeurIPS 2023Boosting Learning for LDPC Codes to Improve the Error-Floor Performance
  5. NeurIPS 2023Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks
  6. NeurIPS 2023BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization
  7. NeurIPS 2023Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing
  8. NeurIPS 2023Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
  9. NeurIPS 2023CAT-Walk: Inductive Hypergraph Learning via Set Walks
  10. NeurIPS 2023Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks
  11. NeurIPS 2023CBD: A Certified Backdoor Detector Based on Local Dominant Probability
  12. NeurIPS 2023Certifiably Robust Graph Contrastive Learning
  13. NeurIPS 2023Certification of Distributional Individual Fairness
  14. NeurIPS 2023Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
  15. NeurIPS 2023Cognitive Model Discovery via Disentangled RNNs
  16. NeurIPS 2023Cognitive Steering in Deep Neural Networks via Long-Range Modulatory Feedback Connections
  17. NeurIPS 2023Combating Bilateral Edge Noise for Robust Link Prediction
  18. NeurIPS 2023Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
  19. NeurIPS 2023Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
  20. NeurIPS 2023Compression with Bayesian Implicit Neural Representations
  21. NeurIPS 2023Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy
  22. NeurIPS 2023Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data
  23. NeurIPS 2023Conformal Prediction for Time Series with Modern Hopfield Networks
  24. NeurIPS 2023Contextual Gaussian Process Bandits with Neural Networks
  25. NeurIPS 2023Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
  26. NeurIPS 2023Convergence of Actor-Critic with Multi-Layer Neural Networks
  27. NeurIPS 2023Convolutional Neural Operators for robust and accurate learning of PDEs
  28. NeurIPS 2023Coop: Memory is not a Commodity
  29. NeurIPS 2023CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics
  30. NeurIPS 2023Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
  31. NeurIPS 2023CosNet: A Generalized Spectral Kernel Network
  32. NeurIPS 2023CP-SLAM: Collaborative Neural Point-based SLAM System
  33. NeurIPS 2023Crystal Structure Prediction by Joint Equivariant Diffusion
  34. NeurIPS 2023CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions
  35. NeurIPS 2023Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First
  36. NeurIPS 2023Curvature Filtrations for Graph Generative Model Evaluation
  37. NeurIPS 2023D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion
  38. NeurIPS 2023Data-Centric Learning from Unlabeled Graphs with Diffusion Model
  39. NeurIPS 2023Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment
  40. NeurIPS 2023Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems
  41. NeurIPS 2023Deep Insights into Noisy Pseudo Labeling on Graph Data
  42. NeurIPS 2023Deep learning with kernels through RKHM and the Perron-Frobenius operator
  43. NeurIPS 2023Deep Patch Visual Odometry
  44. NeurIPS 2023Deep Recurrent Optimal Stopping
  45. NeurIPS 2023Deep Stochastic Processes via Functional Markov Transition Operators
  46. NeurIPS 2023DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  47. NeurIPS 2023DeepPCR: Parallelizing Sequential Operations in Neural Networks
  48. NeurIPS 2023Degraded Polygons Raise Fundamental Questions of Neural Network Perception
  49. NeurIPS 2023Demystifying Oversmoothing in Attention-Based Graph Neural Networks
  50. NeurIPS 2023Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?

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用 paperlist 查深度学习 · graph neural networks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": "dl-graph-neural-networks"}

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常见问题

2023–2026 年四大会议一共有多少篇深度学习 · graph neural networks论文？
共 1,648 篇，按年份分别是 2023 年 728 篇、2024 年 297 篇、2025 年 297 篇、2026 年 326 篇。
NeurIPS 2026 有多少篇深度学习 · graph neural networks论文？
NeurIPS 2026 有 102 篇深度学习 · graph neural networks论文，上一届是 91 篇。
ICLR 2026 有多少篇深度学习 · graph neural networks论文？
ICLR 2026 有 32 篇深度学习 · graph neural networks论文，上一届是 50 篇。
ICML 2026 有多少篇深度学习 · graph neural networks论文？
ICML 2026 有 168 篇深度学习 · graph neural networks论文，上一届是 141 篇。
CVPR 2026 有多少篇深度学习 · graph neural networks论文？
CVPR 2026 有 24 篇深度学习 · graph neural networks论文，上一届是 15 篇。
哪个会议的深度学习 · graph neural networks论文最多？
NeurIPS，2023–2026 年共 842 篇。

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