图神经网络论文趋势 2023–2026

GNN 架构

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,038 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

图神经网络论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023251699618434
20248945686208
202575458112213
202674286813183

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

全部图神经网络论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 74 篇，第 1 / 2 页

  1. NeurIPS 2026A Differentiable 3D Scene Graph Metric via Contextual Hellinger Triplet Geometry
  2. NeurIPS 2026A Topological Encoder Decoder Framework for Temporal Graph Learning
  3. NeurIPS 2026A Unified Uncertainty Representation for Graph Neural Networks via Doubly-Spectral Stochastic Expansion
  4. NeurIPS 2026Approximation of Maximally Monotone Operators : A Graph Convergence Perspective
  5. NeurIPS 2026Avoiding Feature Collapse in Graph ODEs via Hysteretic Topology Evolution
  6. NeurIPS 2026B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
  7. NeurIPS 2026Beyond Node Sequences: Relational Diffusion for Unified Graph Learning
  8. NeurIPS 2026Biological Graph Priors Enable Representation Learning for Cellular Microscopy
  9. NeurIPS 2026Boosting Graph Contrastive Learning via Manifold-Guided Representation Disentanglement
  10. NeurIPS 2026Bridging Graph Worlds: Neural Approximation of Gromov-Wasserstein Distances
  11. NeurIPS 2026Caterpillar GNN: Replacing Message Passing with Graph-Level Aggregation
  12. NeurIPS 2026Chaining 2-FWL GNNs for Combinatorial Graph Alignment
  13. NeurIPS 2026Contractive Monoids: The Algebra Behind Stable Residual Propagation in Deep Graph Neural Networks
  14. NeurIPS 2026Contrastive Adversarial Training for Robust Graph Neural Networks under Label Poisoning
  15. NeurIPS 2026Cross-order Consensus Graph Matching
  16. NeurIPS 2026DAG-Biased Graph Learning for Multimodal Survival on EHR
  17. NeurIPS 2026Distilling Graph Geometry: Knowledge Gap from GNNs to MLPs
  18. NeurIPS 2026Do Graph Neural Networks Learn Generalizable Algorithms for Clustering Graphs?
  19. NeurIPS 2026DTA-GT: Direction- and Topology-Aware Graph Transformer for Neural Network Representation Learning
  20. NeurIPS 2026DualSAT: A Dual-Branch GNN-Transformer Framework for SAT Solving
  21. NeurIPS 2026Dynamic Spectral Federated Graph-Level Clustering
  22. NeurIPS 2026Expressive Power of Deep Homomorphism Networks over Relational Databases
  23. NeurIPS 2026Faster Dynamic Graph Clustering with Hierarchical Graph Contraction
  24. NeurIPS 2026Federated Graph Learning with Local Message Compensation
  25. NeurIPS 2026From Link Prediction to Linear Community Detection: A Finite-Sample Guarantee for Graph Pretraining
  26. NeurIPS 2026GEM: A Dual-Scale Architecture for Graph-Level Hierarchical Representation Learning
  27. NeurIPS 2026Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph
  28. NeurIPS 2026Geometric Gain Graph: Zero-Token Graph Construction for Multi-Hop RAG
  29. NeurIPS 2026GIST: Gauge-Invariant Spectral Transformers for Scalable Graph Neural Operators
  30. NeurIPS 2026GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures
  31. NeurIPS 2026Gradient-Free Editing for Attribute Invariance in Graph Neural Networks
  32. NeurIPS 2026Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning
  33. NeurIPS 2026Graph Label Alignment: A Diagnostic Atlas for Graph Classification
  34. NeurIPS 2026Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs
  35. NeurIPS 2026Graph-Based Stochastic-Power-UCT: Monte-Carlo Graph Search with Power Mean Estimation
  36. NeurIPS 2026GraphUAT: Uncertainty Attribution in Graph Neural Networks
  37. NeurIPS 2026HeterSEED: Semantics–Structure Decoupling for Heterogeneous Graph Learning under Heterophily
  38. NeurIPS 2026HiddenPathQA: A Benchmark for Knowledge Graph Question Answering When Questions Hide Their Paths
  39. NeurIPS 2026HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis
  40. NeurIPS 2026HoTS: Homophily-Aware Temperature Scaling for Graph Neural Network Calibration
  41. NeurIPS 2026IncAgg: Efficient Memory-Enhanced Graph Learning via Incremental Aggregation
  42. NeurIPS 2026Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists
  43. NeurIPS 2026Invariant Hyperbolic Unfolding: Radial Canonicalization for Label-Free Cross-Graph Link Prediction
  44. NeurIPS 2026KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering
  45. NeurIPS 2026Learning Pseudo-Riemannian Manifolds for Heterophilic Graphs via Graph Signature
  46. NeurIPS 2026Long-Range Spatio-Temporal Graph Propagation Through Oscillations
  47. NeurIPS 2026MCGI: Manifold-Consistent Graph Indexing for Billion-Scale Disk-Resident Vector Search
  48. NeurIPS 2026MIRAGE: Hierarchical MI-Surrogate Regulation for Graph Contrastive Learning
  49. NeurIPS 2026Multilateral Resistance-Guided Graph Message Passing for Trade Flow Prediction
  50. NeurIPS 2026Neighbor-Aware Snapshot-Based Temporal Graph Learning

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查图神经网络在 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": "graph-neural-networks-topic"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇图神经网络论文？
共 1,038 篇，按年份分别是 2023 年 434 篇、2024 年 208 篇、2025 年 213 篇、2026 年 183 篇。
NeurIPS 2026 有多少篇图神经网络论文？
NeurIPS 2026 有 74 篇图神经网络论文，上一届是 75 篇。
ICLR 2026 有多少篇图神经网络论文？
ICLR 2026 有 28 篇图神经网络论文，上一届是 45 篇。
ICML 2026 有多少篇图神经网络论文？
ICML 2026 有 68 篇图神经网络论文，上一届是 81 篇。
CVPR 2026 有多少篇图神经网络论文？
CVPR 2026 有 13 篇图神经网络论文，上一届是 12 篇。
哪个会议的图神经网络论文最多？
NeurIPS，2023–2026 年共 489 篇。

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