图神经网络论文趋势 2023–2026

GNN 架构

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

图神经网络论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023251699618434
20248945686208
202575458112213
202674286813183

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

全部图神经网络论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 208 篇，第 4 / 5 页

  1. NeurIPS 2024Geometric Trajectory Diffusion Models
  2. NeurIPS 2024GLBench: A Comprehensive Benchmark for Graph with Large Language Models
  3. NeurIPS 2024Gradient Rewiring for Editable Graph Neural Network Training
  4. NeurIPS 2024GRANOLA: Adaptive Normalization for Graph Neural Networks
  5. NeurIPS 2024Graph Coarsening with Message-Passing Guarantees
  6. NeurIPS 2024Graph Convolutions Enrich the Self-Attention in Transformers!
  7. NeurIPS 2024Graph Neural Networks and Arithmetic Circuits
  8. NeurIPS 2024Graph neural networks and non-commuting operators
  9. NeurIPS 2024Graph Neural Networks Do Not Always Oversmooth
  10. NeurIPS 2024Graph Neural Networks Need Cluster-Normalize-Activate Modules
  11. NeurIPS 2024Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
  12. NeurIPS 2024Graphcode: Learning from multiparameter persistent homology using graph neural networks
  13. NeurIPS 2024GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
  14. NeurIPS 2024GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
  15. NeurIPS 2024GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules
  16. NeurIPS 2024HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
  17. NeurIPS 2024HGDL: Heterogeneous Graph Label Distribution Learning
  18. NeurIPS 2024If You Want to Be Robust, Be Wary of Initialization
  19. NeurIPS 2024Improving Generalization of Dynamic Graph Learning via Environment Prompt
  20. NeurIPS 2024Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion
  21. NeurIPS 2024Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors
  22. NeurIPS 2024Iterative Methods via Locally Evolving Set Process
  23. NeurIPS 2024Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval
  24. NeurIPS 2024Knowledge Graph Completion by Intermediate Variables Regularization
  25. NeurIPS 2024Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers
  26. NeurIPS 2024LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
  27. NeurIPS 2024Long-range Brain Graph Transformer
  28. NeurIPS 2024NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
  29. NeurIPS 2024Non-convolutional graph neural networks.
  30. NeurIPS 2024On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks
  31. NeurIPS 2024On the Power of Small-size Graph Neural Networks for Linear Programming
  32. NeurIPS 2024PowerGraph: A power grid benchmark dataset for graph neural networks
  33. NeurIPS 2024Probabilistic Graph Rewiring via Virtual Nodes
  34. NeurIPS 2024ProG: A Graph Prompt Learning Benchmark
  35. NeurIPS 2024RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
  36. NeurIPS 2024RelBench: A Benchmark for Deep Learning on Relational Databases
  37. NeurIPS 2024Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations
  38. NeurIPS 2024Rethinking the Capacity of Graph Neural Networks for Branching Strategy
  39. NeurIPS 2024Revisiting Score Propagation in Graph Out-of-Distribution Detection
  40. NeurIPS 2024Robust Graph Neural Networks via Unbiased Aggregation
  41. NeurIPS 2024Scale Equivariant Graph Metanetworks
  42. NeurIPS 2024Schur Nets: exploiting local structure for equivariance in higher order graph neural networks
  43. NeurIPS 2024Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
  44. NeurIPS 2024Similarity-Navigated Conformal Prediction for Graph Neural Networks
  45. NeurIPS 2024Spatio-Spectral Graph Neural Networks
  46. NeurIPS 2024Spiking Graph Neural Network on Riemannian Manifolds
  47. NeurIPS 2024Stochastic contextual bandits with graph feedback: from independence number to MAS number
  48. NeurIPS 2024Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
  49. NeurIPS 2024The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
  50. NeurIPS 2024Towards Dynamic Message Passing on Graphs

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 查图神经网络在 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": "graph-neural-networks-topic"}

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图神经网络论文？
共 1,038 篇，按年份分别是 2023 年 434 篇、2024 年 208 篇、2025 年 213 篇、2026 年 183 篇。
NeurIPS 2026 有多少篇图神经网络论文？
NeurIPS 2026 有 74 篇图神经网络论文，上一届是 75 篇。
ICLR 2026 有多少篇图神经网络论文？
ICLR 2026 有 28 篇图神经网络论文，上一届是 45 篇。
ICML 2026 有多少篇图神经网络论文？
ICML 2026 有 68 篇图神经网络论文，上一届是 81 篇。
CVPR 2026 有多少篇图神经网络论文？
CVPR 2026 有 13 篇图神经网络论文，上一届是 12 篇。
哪个会议的图神经网络论文最多？
NeurIPS，2023–2026 年共 489 篇。

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