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 1,648 篇，第 25 / 33 页

  1. NeurIPS 2023Anchor Data Augmentation
  2. NeurIPS 2023Approximately Equivariant Graph Networks
  3. NeurIPS 2023Approximation-Generalization Trade-offs under (Approximate) Group Equivariance
  4. NeurIPS 2023Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning
  5. NeurIPS 2023Are aligned neural networks adversarially aligned?
  6. NeurIPS 2023Are GATs Out of Balance?
  7. NeurIPS 2023ARTree: A Deep Autoregressive Model for Phylogenetic Inference
  8. NeurIPS 2023ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks
  9. NeurIPS 2023Asymmetric Certified Robustness via Feature-Convex Neural Networks
  10. NeurIPS 2023Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation
  11. NeurIPS 2023AutoGO: Automated Computation Graph Optimization for Neural Network Evolution
  12. NeurIPS 2023Automatic Integration for Spatiotemporal Neural Point Processes
  13. NeurIPS 2023Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
  14. NeurIPS 2023Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
  15. NeurIPS 2023Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
  16. NeurIPS 2023Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
  17. NeurIPS 2023Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time
  18. NeurIPS 2023Beyond probability partitions: Calibrating neural networks with semantic aware grouping
  19. NeurIPS 2023Bifurcations and loss jumps in RNN training
  20. NeurIPS 2023Binarized Neural Machine Translation
  21. NeurIPS 2023Binary Radiance Fields
  22. NeurIPS 2023Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training
  23. NeurIPS 2023Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization
  24. NeurIPS 2023Boosting Learning for LDPC Codes to Improve the Error-Floor Performance
  25. NeurIPS 2023Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks
  26. NeurIPS 2023BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization
  27. NeurIPS 2023Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing
  28. NeurIPS 2023Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
  29. NeurIPS 2023CAT-Walk: Inductive Hypergraph Learning via Set Walks
  30. NeurIPS 2023Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks
  31. NeurIPS 2023CBD: A Certified Backdoor Detector Based on Local Dominant Probability
  32. NeurIPS 2023Certifiably Robust Graph Contrastive Learning
  33. NeurIPS 2023Certification of Distributional Individual Fairness
  34. NeurIPS 2023Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
  35. NeurIPS 2023Cognitive Model Discovery via Disentangled RNNs
  36. NeurIPS 2023Cognitive Steering in Deep Neural Networks via Long-Range Modulatory Feedback Connections
  37. NeurIPS 2023Combating Bilateral Edge Noise for Robust Link Prediction
  38. NeurIPS 2023Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
  39. NeurIPS 2023Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees
  40. NeurIPS 2023Compression with Bayesian Implicit Neural Representations
  41. NeurIPS 2023Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy
  42. NeurIPS 2023Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data
  43. NeurIPS 2023Conformal Prediction for Time Series with Modern Hopfield Networks
  44. NeurIPS 2023Contextual Gaussian Process Bandits with Neural Networks
  45. NeurIPS 2023Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
  46. NeurIPS 2023Convergence of Actor-Critic with Multi-Layer Neural Networks
  47. NeurIPS 2023Convolutional Neural Operators for robust and accurate learning of PDEs
  48. NeurIPS 2023Coop: Memory is not a Commodity
  49. NeurIPS 2023CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics
  50. NeurIPS 2023Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry

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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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