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 17 / 33 页

  1. NeurIPS 2024EGonc : Energy-based Open-Set Node Classification with substitute Unknowns
  2. NeurIPS 2024EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection
  3. NeurIPS 2024Energy-based Epistemic Uncertainty for Graph Neural Networks
  4. NeurIPS 2024Enhancing Chess Reinforcement Learning with Graph Representation
  5. NeurIPS 2024Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
  6. NeurIPS 2024Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
  7. NeurIPS 2024Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
  8. NeurIPS 2024Even Sparser Graph Transformers
  9. NeurIPS 2024Expected Probabilistic Hierarchies
  10. NeurIPS 2024Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
  11. NeurIPS 2024Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks
  12. NeurIPS 2024Extracting Training Data from Molecular Pre-trained Models
  13. NeurIPS 2024Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior
  14. NeurIPS 2024Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
  15. NeurIPS 2024Faster Local Solvers for Graph Diffusion Equations
  16. NeurIPS 2024Federated Graph Learning for Cross-Domain Recommendation
  17. NeurIPS 2024FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
  18. NeurIPS 2024FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
  19. NeurIPS 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
  20. NeurIPS 2024GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
  21. NeurIPS 2024Generalizing CNNs to graphs with learnable neighborhood quantization
  22. NeurIPS 2024Generative Semi-supervised Graph Anomaly Detection
  23. NeurIPS 2024Geometric Trajectory Diffusion Models
  24. NeurIPS 2024Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
  25. NeurIPS 2024GFT: Graph Foundation Model with Transferable Tree Vocabulary
  26. NeurIPS 2024GLBench: A Comprehensive Benchmark for Graph with Large Language Models
  27. NeurIPS 2024Gradient Rewiring for Editable Graph Neural Network Training
  28. NeurIPS 2024GRANOLA: Adaptive Normalization for Graph Neural Networks
  29. NeurIPS 2024Graph Classification via Reference Distribution Learning: Theory and Practice
  30. NeurIPS 2024Graph Coarsening with Message-Passing Guarantees
  31. NeurIPS 2024Graph Convolutions Enrich the Self-Attention in Transformers!
  32. NeurIPS 2024Graph Edit Distance with General Costs Using Neural Set Divergence
  33. NeurIPS 2024Graph Learning for Numeric Planning
  34. NeurIPS 2024Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series
  35. NeurIPS 2024Graph Neural Networks and Arithmetic Circuits
  36. NeurIPS 2024Graph neural networks and non-commuting operators
  37. NeurIPS 2024Graph Neural Networks Do Not Always Oversmooth
  38. NeurIPS 2024Graph Neural Networks Need Cluster-Normalize-Activate Modules
  39. NeurIPS 2024Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention
  40. NeurIPS 2024Graphcode: Learning from multiparameter persistent homology using graph neural networks
  41. NeurIPS 2024GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
  42. NeurIPS 2024GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
  43. NeurIPS 2024GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules
  44. NeurIPS 2024Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
  45. NeurIPS 2024HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
  46. NeurIPS 2024HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
  47. NeurIPS 2024HGDL: Heterogeneous Graph Label Distribution Learning
  48. NeurIPS 2024If You Want to Be Robust, Be Wary of Initialization
  49. NeurIPS 2024Improving Generalization of Dynamic Graph Learning via Environment Prompt
  50. NeurIPS 2024Improving Temporal Link Prediction via Temporal Walk Matrix Projection

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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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