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 426 篇，第 4 / 9 页

  1. ICLR 2024Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
  2. ICLR 2024Supervised Knowledge Makes Large Language Models Better In-context Learners
  3. ICLR 2024Talk like a Graph: Encoding Graphs for Large Language Models
  4. ICLR 2024TEDDY: Trimming Edges with Degree-based Discrimination Strategy
  5. ICLR 2024Temporal Generalization Estimation in Evolving Graphs
  6. ICLR 2024The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
  7. ICLR 2024Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
  8. ICLR 2024Toward Student-oriented Teacher Network Training for Knowledge Distillation
  9. ICLR 2024Towards Foundation Models for Knowledge Graph Reasoning
  10. ICLR 2024Towards the Fundamental Limits of Knowledge Transfer over Finite Domains
  11. ICLR 2024Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
  12. ICLR 2024Training Graph Transformers via Curriculum-Enhanced Attention Distillation
  13. ICLR 2024Understanding Expressivity of GNN in Rule Learning
  14. ICLR 2024Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
  15. ICLR 2024Unveiling Options with Neural Network Decomposition
  16. ICLR 2024Unveiling the Pitfalls of Knowledge Editing for Large Language Models
  17. ICLR 2024VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
  18. ICLR 2024VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  19. ICLR 2024What does the Knowledge Neuron Thesis Have to do with Knowledge?
  20. ICLR 2024Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
  21. ICML 2024A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
  22. ICML 2024Adaptive Proximal Gradient Methods Are Universal Without Approximation
  23. ICML 2024Ambiguity-Aware Abductive Learning
  24. ICML 2024An Empirical Study of Realized GNN Expressiveness
  25. ICML 2024Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification
  26. ICML 2024Bayesian Program Learning by Decompiling Amortized Knowledge
  27. ICML 2024Bipartite Matching in Massive Graphs: A Tight Analysis of EDCS
  28. ICML 2024Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
  29. ICML 2024CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback
  30. ICML 2024Class-Imbalanced Graph Learning without Class Rebalancing
  31. ICML 2024Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
  32. ICML 2024Community-Invariant Graph Contrastive Learning
  33. ICML 2024Comparing Graph Transformers via Positional Encodings
  34. ICML 2024Convergence Guarantees for the DeepWalk Embedding on Block Models
  35. ICML 2024DetKDS: Knowledge Distillation Search for Object Detectors
  36. ICML 2024Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View
  37. ICML 2024DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
  38. ICML 2024Differentially Private Decentralized Learning with Random Walks
  39. ICML 2024Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
  40. ICML 2024Do Topological Characteristics Help in Knowledge Distillation?
  41. ICML 2024DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
  42. ICML 2024Dynamic Metric Embedding into lp Space
  43. ICML 2024Dynamic Spectral Clustering with Provable Approximation Guarantee
  44. ICML 2024Efficient Contextual Bandits with Uninformed Feedback Graphs
  45. ICML 2024Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
  46. ICML 2024Empowering Graph Invariance Learning with Deep Spurious Infomax
  47. ICML 2024Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
  48. ICML 2024EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
  49. ICML 2024Exploring Correlations of Self-Supervised Tasks for Graphs
  50. ICML 2024Faster Streaming and Scalable Algorithms for Finding Directed Dense Subgraphs in Large Graphs

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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