知识图谱论文趋势 2023–2026

图谱嵌入与推理

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,715 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

知识图谱论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202376787261287
202415312010350426
20251541729941466
202613320114953536

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

全部知识图谱论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 423 篇，第 7 / 9 页

  1. ICML 2024Knowledge Distillation with Auxiliary Variable
  2. ICML 2024Knowledge Graphs Can be Learned with Just Intersection Features
  3. ICML 2024Knowledge-aware Reinforced Language Models for Protein Directed Evolution
  4. ICML 2024Layerwise Change of Knowledge in Neural Networks
  5. ICML 2024Learning in Deep Factor Graphs with Gaussian Belief Propagation
  6. ICML 2024Learning Modality Knowledge Alignment for Cross-Modality Transfer
  7. ICML 2024Learning to Explore in POMDPs with Informational Rewards
  8. ICML 2024Less is More: on the Over-Globalizing Problem in Graph Transformers
  9. ICML 2024LLaGA: Large Language and Graph Assistant
  10. ICML 2024Long Range Propagation on Continuous-Time Dynamic Graphs
  11. ICML 2024MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
  12. ICML 2024Mitigating Label Noise on Graphs via Topological Sample Selection
  13. ICML 2024Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
  14. ICML 2024Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
  15. ICML 2024Neighboring Perturbations of Knowledge Editing on Large Language Models
  16. ICML 2024Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks
  17. ICML 2024Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
  18. ICML 2024OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
  19. ICML 2024On dimensionality of feature vectors in MPNNs
  20. ICML 2024On the Expressive Power of Spectral Invariant Graph Neural Networks
  21. ICML 2024On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors
  22. ICML 2024Optimal Batched Linear Bandits
  23. ICML 2024PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
  24. ICML 2024PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
  25. ICML 2024Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
  26. ICML 2024PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
  27. ICML 2024Position: Why We Must Rethink Empirical Research in Machine Learning
  28. ICML 2024Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning
  29. ICML 2024QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
  30. ICML 2024Rethinking Momentum Knowledge Distillation in Online Continual Learning
  31. ICML 2024Revisit the Essence of Distilling Knowledge through Calibration
  32. ICML 2024Robust Graph Matching when Nodes are Corrupt
  33. ICML 2024S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
  34. ICML 2024Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency
  35. ICML 2024Semantically-correlated memories in a dense associative model
  36. ICML 2024SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
  37. ICML 2024SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States
  38. ICML 2024Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
  39. ICML 2024SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
  40. ICML 2024Stochastic Bandits with ReLU Neural Networks
  41. ICML 2024Sub-token ViT Embedding via Stochastic Resonance Transformers
  42. ICML 2024Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
  43. ICML 2024Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
  44. ICML 2024The Expressive Power of Path-Based Graph Neural Networks
  45. ICML 2024Transferring Knowledge From Large Foundation Models to Small Downstream Models
  46. ICML 2024Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
  47. ICML 2024Uncertainty for Active Learning on Graphs
  48. ICML 2024Understanding Finetuning for Factual Knowledge Extraction
  49. ICML 2024Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
  50. ICML 2024Weisfeiler-Leman at the margin: When more expressivity matters

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 查知识图谱在 ICLR 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": "knowledge-graphs"}

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知识图谱论文？
共 1,715 篇，按年份分别是 2023 年 287 篇、2024 年 426 篇、2025 年 466 篇、2026 年 536 篇。
NeurIPS 2026 有多少篇知识图谱论文？
NeurIPS 2026 有 133 篇知识图谱论文，上一届是 154 篇。
ICLR 2026 有多少篇知识图谱论文？
ICLR 2026 有 201 篇知识图谱论文，上一届是 172 篇。
ICML 2026 有多少篇知识图谱论文？
ICML 2026 有 149 篇知识图谱论文，上一届是 99 篇。
CVPR 2026 有多少篇知识图谱论文？
CVPR 2026 有 53 篇知识图谱论文，上一届是 41 篇。
哪个会议的知识图谱论文最多？
ICLR，2023–2026 年共 571 篇。

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