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 297 篇，第 5 / 6 页

  1. ICML 2025Vision Graph Prompting via Semantic Low-Rank Decomposition
  2. ICML 2025Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win
  3. ICML 2025What Makes a Good Feedforward Computational Graph?
  4. ICML 2025When Do LLMs Help With Node Classification? A Comprehensive Analysis
  5. ICML 2025WILTing Trees: Interpreting the Distance Between MPNN Embeddings
  6. ICML 2025Zero-Shot Generalization of GNNs over Distinct Attribute Domains
  7. NeurIPS 20253D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
  8. NeurIPS 2025A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers
  9. NeurIPS 2025Adjusted Count Quantification Learning on Graphs
  10. NeurIPS 2025An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph
  11. NeurIPS 2025Association-Focused Path Aggregation for Graph Fraud Detection
  12. NeurIPS 2025Coloring Learning for Heterophilic Graph Representation
  13. NeurIPS 2025Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
  14. NeurIPS 2025DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases
  15. NeurIPS 2025Depth-Width Tradeoffs for Transformers on Graph Tasks
  16. NeurIPS 2025DGCBench: A Deep Graph Clustering Benchmark
  17. NeurIPS 2025DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction
  18. NeurIPS 2025Diffusion-Guided Graph Data Augmentation
  19. NeurIPS 2025Distribution Learning Meets Graph Structure Sampling
  20. NeurIPS 2025DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
  21. NeurIPS 2025Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph
  22. NeurIPS 2025Effects of Dropout on Performance in Long-range Graph Learning Tasks
  23. NeurIPS 2025Enforcing convex constraints in Graph Neural Networks
  24. NeurIPS 2025Enhancing Graph Classification Robustness with Singular Pooling
  25. NeurIPS 2025EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event Representation
  26. NeurIPS 2025EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation
  27. NeurIPS 2025FedIGL: Federated Invariant Graph Learning for Non-IID Graphs
  28. NeurIPS 2025FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network
  29. NeurIPS 2025FoGE: Fock Space inspired encoding for graph prompting
  30. NeurIPS 2025GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
  31. NeurIPS 2025GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy
  32. NeurIPS 2025Generative Graph Pattern Machine
  33. NeurIPS 2025Geometry-Aware Edge Pooling for Graph Neural Networks
  34. NeurIPS 2025Graph Alignment via Birkhoff Relaxation
  35. NeurIPS 2025Graph Persistence goes Spectral
  36. NeurIPS 2025Graph Your Own Prompt
  37. NeurIPS 2025GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining
  38. NeurIPS 2025GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data
  39. NeurIPS 2025GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
  40. NeurIPS 2025Hierarchical Shortest-Path Graph Kernel Network
  41. NeurIPS 2025Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings
  42. NeurIPS 2025How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective
  43. NeurIPS 2025HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling
  44. NeurIPS 2025HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning
  45. NeurIPS 2025HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
  46. NeurIPS 2025Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
  47. NeurIPS 2025IPSI: Enhancing Structural Inference with Automatically Learned Structural Priors
  48. NeurIPS 2025Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
  49. NeurIPS 2025LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
  50. NeurIPS 2025Learning Repetition-Invariant Representations for Polymer Informatics

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可以直接复制这句话问 AI

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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