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 1,038 篇，第 13 / 21 页

  1. NeurIPS 2024What do Graph Neural Networks learn? Insights from Tropical Geometry
  2. NeurIPS 2024What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks
  3. NeurIPS 2024What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
  4. NeurIPS 2024You Only Cache Once: Decoder-Decoder Architectures for Language Models
  5. CVPR 2023Adaptive Graph Convolutional Subspace Clustering
  6. CVPR 2023Adversarially Robust Neural Architecture Search for Graph Neural Networks
  7. CVPR 2023An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity
  8. CVPR 2023Deep Graph Reprogramming
  9. CVPR 2023Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration
  10. CVPR 2023Deep Learning of Partial Graph Matching via Differentiable Top-K
  11. CVPR 2023Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation
  12. CVPR 2023High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
  13. CVPR 2023Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering
  14. CVPR 2023Incremental 3D Semantic Scene Graph Prediction From RGB Sequences
  15. CVPR 2023Mind the Label Shift of Augmentation-Based Graph OOD Generalization
  16. CVPR 2023Robust 3D Shape Classification via Non-Local Graph Attention Network
  17. CVPR 2023Sample-Level Multi-View Graph Clustering
  18. CVPR 2023TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images
  19. CVPR 2023Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement
  20. CVPR 2023TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification
  21. CVPR 2023Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks
  22. CVPR 2023VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation
  23. ICLR 2023$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling
  24. ICLR 2023$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks
  25. ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
  26. ICLR 2023A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
  27. ICLR 2023A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
  28. ICLR 2023A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
  29. ICLR 2023ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
  30. ICLR 2023Agent-based Graph Neural Networks
  31. ICLR 2023Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel
  32. ICLR 2023Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
  33. ICLR 2023Are More Layers Beneficial to Graph Transformers?
  34. ICLR 2023AutoGT: Automated Graph Transformer Architecture Search
  35. ICLR 2023Automated Data Augmentations for Graph Classification
  36. ICLR 2023AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
  37. ICLR 2023Backpropagation through Combinatorial Algorithms: Identity with Projection Works
  38. ICLR 2023Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
  39. ICLR 2023Characterizing the Influence of Graph Elements
  40. ICLR 2023CktGNN: Circuit Graph Neural Network for Electronic Design Automation
  41. ICLR 2023Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation
  42. ICLR 2023DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
  43. ICLR 2023Do We Really Need Complicated Model Architectures For Temporal Networks?
  44. ICLR 2023EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
  45. ICLR 2023Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
  46. ICLR 2023Effects of Graph Convolutions in Multi-layer Networks
  47. ICLR 2023Efficient Model Updates for Approximate Unlearning of Graph-Structured Data
  48. ICLR 2023Empowering Graph Representation Learning with Test-Time Graph Transformation
  49. ICLR 2023Energy-based Out-of-Distribution Detection for Graph Neural Networks
  50. ICLR 2023Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic 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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