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 91 篇，第 1 / 2 页

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

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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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