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 842 篇，第 4 / 17 页

  1. NeurIPS 2025Memorization in Graph Neural Networks
  2. NeurIPS 2025Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants
  3. NeurIPS 2025Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation
  4. NeurIPS 2025Network two-sample test for block models
  5. NeurIPS 2025NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis
  6. NeurIPS 2025Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction
  7. NeurIPS 2025On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective
  8. NeurIPS 2025On topological descriptors for graph products
  9. NeurIPS 2025One for All: Universal Topological Primitive Transfer for Graph Structure Learning
  10. NeurIPS 2025Optimal Graph Clustering without Edge Density Signals
  11. NeurIPS 2025Over-squashing in Spatiotemporal Graph Neural Networks
  12. NeurIPS 2025Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning
  13. NeurIPS 2025ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks
  14. NeurIPS 2025Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
  15. NeurIPS 2025Pseudo-Riemannian Graph Transformer
  16. NeurIPS 2025Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks
  17. NeurIPS 2025Relieving the Over-Aggregating Effect in Graph Transformers
  18. NeurIPS 2025Rethinking Tokenized Graph Transformers for Node Classification
  19. NeurIPS 2025Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency
  20. NeurIPS 2025Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN
  21. NeurIPS 2025Robust Graph Condensation via Classification Complexity Mitigation
  22. NeurIPS 2025Self-Assembling Graph Perceptrons
  23. NeurIPS 2025Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
  24. NeurIPS 2025SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction
  25. NeurIPS 2025Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
  26. NeurIPS 2025SONAR: Long-Range Graph Propagation Through Information Waves
  27. NeurIPS 2025Sound Logical Explanations for Mean Aggregation Graph Neural Networks
  28. NeurIPS 2025Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
  29. NeurIPS 2025Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification
  30. NeurIPS 2025TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
  31. NeurIPS 2025Taxonomy of reduction matrices for Graph Coarsening
  32. NeurIPS 2025The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics
  33. NeurIPS 2025The quest for the GRAph Level autoEncoder (GRALE)
  34. NeurIPS 2025TopER: Topological Embeddings in Graph Representation Learning
  35. NeurIPS 2025Topology-aware Graph Diffusion Model with Persistent Homology
  36. NeurIPS 2025Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve
  37. NeurIPS 2025Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors
  38. NeurIPS 2025Towards Pre-trained Graph Condensation via Optimal Transport
  39. NeurIPS 2025Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
  40. NeurIPS 2025Universally Invariant Learning in Equivariant GNNs
  41. NeurIPS 2025Unsupervised Federated Graph Learning
  42. NeurIPS 2025VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold
  43. NeurIPS 2025You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network
  44. NeurIPS 2024[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks
  45. NeurIPS 2024[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"
  46. NeurIPS 2024A Canonicalization Perspective on Invariant and Equivariant Learning
  47. NeurIPS 2024A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
  48. NeurIPS 2024A Foundation Model for Zero-shot Logical Query Reasoning
  49. NeurIPS 2024A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking
  50. NeurIPS 2024A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning

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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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