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 571 篇，第 10 / 12 页

  1. ICLR 2024Orbit-Equivariant Graph Neural Networks
  2. ICLR 2024PAE: Reinforcement Learning from External Knowledge for Efficient Exploration
  3. ICLR 2024Partitioning Message Passing for Graph Fraud Detection
  4. ICLR 2024Predictive, scalable and interpretable knowledge tracing on structured domains
  5. ICLR 2024PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
  6. ICLR 2024Probabilistically Rewired Message-Passing Neural Networks
  7. ICLR 2024Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
  8. ICLR 2024Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
  9. ICLR 2024Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
  10. ICLR 2024Repelling Random Walks
  11. ICLR 2024Rethinking and Extending the Probabilistic Inference Capacity of GNNs
  12. ICLR 2024Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
  13. ICLR 2024Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
  14. ICLR 2024Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
  15. ICLR 2024Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
  16. ICLR 2024Revisiting Link Prediction: a data perspective
  17. ICLR 2024Robust Angular Synchronization via Directed Graph Neural Networks
  18. ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
  19. ICLR 2024Scalable and Effective Implicit Graph Neural Networks on Large Graphs
  20. ICLR 2024Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
  21. ICLR 2024SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
  22. ICLR 2024Simplicial Representation Learning with Neural $k$-Forms
  23. ICLR 2024Structural Fairness-aware Active Learning for Graph Neural Networks
  24. ICLR 2024Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
  25. ICLR 2024Supervised Knowledge Makes Large Language Models Better In-context Learners
  26. ICLR 2024Talk like a Graph: Encoding Graphs for Large Language Models
  27. ICLR 2024TEDDY: Trimming Edges with Degree-based Discrimination Strategy
  28. ICLR 2024Temporal Generalization Estimation in Evolving Graphs
  29. ICLR 2024The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
  30. ICLR 2024Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
  31. ICLR 2024Toward Student-oriented Teacher Network Training for Knowledge Distillation
  32. ICLR 2024Towards Foundation Models for Knowledge Graph Reasoning
  33. ICLR 2024Towards the Fundamental Limits of Knowledge Transfer over Finite Domains
  34. ICLR 2024Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
  35. ICLR 2024Training Graph Transformers via Curriculum-Enhanced Attention Distillation
  36. ICLR 2024Understanding Expressivity of GNN in Rule Learning
  37. ICLR 2024Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
  38. ICLR 2024Unveiling Options with Neural Network Decomposition
  39. ICLR 2024Unveiling the Pitfalls of Knowledge Editing for Large Language Models
  40. ICLR 2024VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
  41. ICLR 2024VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  42. ICLR 2024What does the Knowledge Neuron Thesis Have to do with Knowledge?
  43. ICLR 2024Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
  44. ICLR 2023A Differential Geometric View and Explainability of GNN on Evolving Graphs
  45. ICLR 2023A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
  46. ICLR 2023A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
  47. ICLR 2023AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
  48. ICLR 2023Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
  49. ICLR 2023Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
  50. ICLR 2023Characterizing the Influence of Graph Elements

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。

「图与结构化数据」下的其他主题