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 1,715 篇，第 28 / 35 页

  1. NeurIPS 2024Knowledge Graph Completion by Intermediate Variables Regularization
  2. NeurIPS 2024Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
  3. NeurIPS 2024LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations
  4. NeurIPS 2024Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
  5. NeurIPS 2024Language Models as Hierarchy Encoders
  6. NeurIPS 2024Large Language Model Unlearning via Embedding-Corrupted Prompts
  7. NeurIPS 2024Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
  8. NeurIPS 2024Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
  9. NeurIPS 2024Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
  10. NeurIPS 2024Learning on Large Graphs using Intersecting Communities
  11. NeurIPS 2024Learning Representations for Hierarchies with Minimal Support
  12. NeurIPS 2024Linear Uncertainty Quantification of Graphical Model Inference
  13. NeurIPS 2024Long-range Meta-path Search on Large-scale Heterogeneous Graphs
  14. NeurIPS 2024MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs
  15. NeurIPS 2024Mixture of Link Predictors on Graphs
  16. NeurIPS 2024MKGL: Mastery of a Three-Word Language
  17. NeurIPS 2024Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets
  18. NeurIPS 2024Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
  19. NeurIPS 2024Non-convolutional graph neural networks.
  20. NeurIPS 2024Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
  21. NeurIPS 2024On the Scalability of GNNs for Molecular Graphs
  22. NeurIPS 2024Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
  23. NeurIPS 2024Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
  24. NeurIPS 2024Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
  25. NeurIPS 2024PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
  26. NeurIPS 2024Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
  27. NeurIPS 2024Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust
  28. NeurIPS 2024ProG: A Graph Prompt Learning Benchmark
  29. NeurIPS 2024Pruning neural network models for gene regulatory dynamics using data and domain knowledge
  30. NeurIPS 2024Reasons and Solutions for the Decline in Model Performance after Editing
  31. NeurIPS 2024Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
  32. NeurIPS 2024Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
  33. NeurIPS 2024Right this way: Can VLMs Guide Us to See More to Answer Questions?
  34. NeurIPS 2024Robust Offline Active Learning on Graphs
  35. NeurIPS 2024RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
  36. NeurIPS 2024S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
  37. NeurIPS 2024Sample Efficient Bayesian Learning of Causal Graphs from Interventions
  38. NeurIPS 2024Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data
  39. NeurIPS 2024SIRIUS : Contexual Sparisty with Correction for Efficient LLMs
  40. NeurIPS 2024Spatio-Spectral Graph Neural Networks
  41. NeurIPS 2024Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
  42. NeurIPS 2024Spiking Graph Neural Network on Riemannian Manifolds
  43. NeurIPS 2024STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
  44. NeurIPS 2024State Space Models on Temporal Graphs: A First-Principles Study
  45. NeurIPS 2024Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
  46. NeurIPS 2024Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection
  47. NeurIPS 2024Supra-Laplacian Encoding for Transformer on Dynamic Graphs
  48. NeurIPS 2024Tackling Uncertain Correspondences for Multi-Modal Entity Alignment
  49. NeurIPS 2024TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
  50. NeurIPS 2024Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction

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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