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 1,648 篇，第 12 / 33 页

  1. NeurIPS 2025EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event Representation
  2. NeurIPS 2025EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation
  3. NeurIPS 2025FedIGL: Federated Invariant Graph Learning for Non-IID Graphs
  4. NeurIPS 2025FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network
  5. NeurIPS 2025FoGE: Fock Space inspired encoding for graph prompting
  6. NeurIPS 2025GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
  7. NeurIPS 2025GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy
  8. NeurIPS 2025Generative Graph Pattern Machine
  9. NeurIPS 2025Geometry-Aware Edge Pooling for Graph Neural Networks
  10. NeurIPS 2025Graph Alignment via Birkhoff Relaxation
  11. NeurIPS 2025Graph Persistence goes Spectral
  12. NeurIPS 2025Graph Your Own Prompt
  13. NeurIPS 2025GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining
  14. NeurIPS 2025GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data
  15. NeurIPS 2025GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
  16. NeurIPS 2025Hierarchical Shortest-Path Graph Kernel Network
  17. NeurIPS 2025Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings
  18. NeurIPS 2025How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective
  19. NeurIPS 2025HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling
  20. NeurIPS 2025HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning
  21. NeurIPS 2025HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
  22. NeurIPS 2025Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
  23. NeurIPS 2025IPSI: Enhancing Structural Inference with Automatically Learned Structural Priors
  24. NeurIPS 2025Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
  25. NeurIPS 2025LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
  26. NeurIPS 2025Learning Repetition-Invariant Representations for Polymer Informatics
  27. NeurIPS 2025Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives
  28. NeurIPS 2025Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization
  29. NeurIPS 2025Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness–Generalization Perspective
  30. NeurIPS 2025MaNGO — Adaptable Graph Network Simulators via Meta-Learning
  31. NeurIPS 2025Memorization in Graph Neural Networks
  32. NeurIPS 2025Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants
  33. NeurIPS 2025Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation
  34. NeurIPS 2025Network two-sample test for block models
  35. NeurIPS 2025NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis
  36. NeurIPS 2025Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction
  37. NeurIPS 2025On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective
  38. NeurIPS 2025On topological descriptors for graph products
  39. NeurIPS 2025One for All: Universal Topological Primitive Transfer for Graph Structure Learning
  40. NeurIPS 2025Optimal Graph Clustering without Edge Density Signals
  41. NeurIPS 2025Over-squashing in Spatiotemporal Graph Neural Networks
  42. NeurIPS 2025Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning
  43. NeurIPS 2025ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks
  44. NeurIPS 2025Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
  45. NeurIPS 2025Pseudo-Riemannian Graph Transformer
  46. NeurIPS 2025Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks
  47. NeurIPS 2025Relieving the Over-Aggregating Effect in Graph Transformers
  48. NeurIPS 2025Rethinking Tokenized Graph Transformers for Node Classification
  49. NeurIPS 2025Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency
  50. NeurIPS 2025Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN

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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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