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

主要结论

• 深度学习 · graph neural networks论文从 2023 年的 728 篇降到 2026 年的 326 篇，热度在回落。
• NeurIPS 是发深度学习 · graph neural networks论文最多的会议，2023–2026 年共 842 篇，占四个会议总量的 51%。
• 交叉方向里涨得最快的是数据集与基准：同时属于两个主题的论文从 2023 年的 9 篇增至 2026 年的 20 篇。
• 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 5；同组增长最快的扩散模型是 4.1 倍，深度学习 · graph neural networks是 0.4 倍。

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

• NeurIPS 2026A New Perspective on Target-Conditioned Structural Dynamics for Link Prediction in Dynamic Graphs
• ICML 2026A Graph Foundation Model with Cross-Modal Alignment and Modality-Aware Expert Fusion for Multi-Modal Graphs
• ICLR 2026Laplacian Kernelized Bandit
• CVPR 2026Gamba Mamba-based graph convolutional network with dynamic graph topology learning
• NeurIPS 2025Depth-Width Tradeoffs for Transformers on Graph Tasks
• ICML 2025A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
• ICLR 2025Factor Graph-based Interpretable Neural Networks
• CVPR 2025Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
• NeurIPS 2024[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks
• ICML 2024A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
• ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
• CVPR 2024Learning Structure-from-Motion with Graph Attention Networks
• NeurIPS 2023[Re] On Explainability of Graph Neural Networks via Subgraph Explorations
• ICML 2023A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
• ICLR 2023Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
• CVPR 2023An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity
• NeurIPS 2026A Topological Encoder Decoder Framework for Temporal Graph Learning
• ICML 2026A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation
• ICLR 2026GTool: Graph Enhanced Tool Planning with Large Language Model
• CVPR 2026GSNR Graph Smooth Null-Space Representation for Inverse Problems

全部深度学习 · graph neural networks论文

共 728 篇，第 1 / 15 页

1. CVPR 2023Adaptive Graph Convolutional Subspace Clustering
2. CVPR 2023Adversarially Robust Neural Architecture Search for Graph Neural Networks
3. CVPR 2023An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity
4. CVPR 2023Deep Graph Reprogramming
5. CVPR 2023Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration
6. CVPR 2023Deep Learning of Partial Graph Matching via Differentiable Top-K
7. CVPR 2023Graph Representation for Order-Aware Visual Transformation
8. CVPR 2023High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
9. CVPR 2023Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering
10. CVPR 2023Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning
11. CVPR 2023Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering
12. CVPR 2023Incremental 3D Semantic Scene Graph Prediction From RGB Sequences
13. CVPR 2023Mind the Label Shift of Augmentation-Based Graph OOD Generalization
14. CVPR 2023Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph
15. CVPR 2023Robust 3D Shape Classification via Non-Local Graph Attention Network
16. CVPR 2023Sample-Level Multi-View Graph Clustering
17. CVPR 2023TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images
18. CVPR 2023Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement
19. CVPR 2023TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification
20. CVPR 2023Tree Instance Segmentation With Temporal Contour Graph
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. CVPR 2023VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
24. ICLR 2023$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks
25. ICLR 2023$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks
26. ICLR 2023A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
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 2023Agent-based Graph Neural Networks
30. ICLR 2023Anti-Symmetric DGN: a stable architecture for Deep Graph Networks
31. ICLR 2023Are More Layers Beneficial to Graph Transformers?
32. ICLR 2023AutoGT: Automated Graph Transformer Architecture Search
33. ICLR 2023Automated Data Augmentations for Graph Classification
34. ICLR 2023AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
35. ICLR 2023Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
36. ICLR 2023Characterizing the Influence of Graph Elements
37. ICLR 2023Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation
38. ICLR 2023DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
39. ICLR 2023DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
40. ICLR 2023Do We Really Need Complicated Model Architectures For Temporal Networks?
41. ICLR 2023Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
42. ICLR 2023Effects of Graph Convolutions in Multi-layer Networks
43. ICLR 2023Efficient Model Updates for Approximate Unlearning of Graph-Structured Data
44. ICLR 2023Energy-based Out-of-Distribution Detection for Graph Neural Networks
45. ICLR 2023Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
46. ICLR 2023ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
47. ICLR 2023Fair Attribute Completion on Graph with Missing Attributes
48. ICLR 2023FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
49. ICLR 2023Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation
50. ICLR 2023Graph Contrastive Learning for Skeleton-based Action Recognition

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。