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

共 516 篇,第 8 / 11 页

  1. NeurIPS 2024Graph Neural Networks Need Cluster-Normalize-Activate Modules
  2. NeurIPS 2024GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
  3. NeurIPS 2024GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
  4. NeurIPS 2024Harnessing Multiple Correlated Networks for Exact Community Recovery
  5. NeurIPS 2024HGDL: Heterogeneous Graph Label Distribution Learning
  6. NeurIPS 2024How Do Large Language Models Acquire Factual Knowledge During Pretraining?
  7. NeurIPS 2024HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning
  8. NeurIPS 2024IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos
  9. NeurIPS 2024Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions
  10. NeurIPS 2024KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
  11. NeurIPS 2024KnowGPT: Knowledge Graph based Prompting for Large Language Models
  12. NeurIPS 2024Knowledge Circuits in Pretrained Transformers
  13. NeurIPS 2024Knowledge Graph Completion by Intermediate Variables Regularization
  14. NeurIPS 2024Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
  15. NeurIPS 2024LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations
  16. NeurIPS 2024Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
  17. NeurIPS 2024Language Models as Hierarchy Encoders
  18. NeurIPS 2024Large Language Model Unlearning via Embedding-Corrupted Prompts
  19. NeurIPS 2024Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
  20. NeurIPS 2024Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
  21. NeurIPS 2024Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
  22. NeurIPS 2024Learning on Large Graphs using Intersecting Communities
  23. NeurIPS 2024Learning Representations for Hierarchies with Minimal Support
  24. NeurIPS 2024Linear Uncertainty Quantification of Graphical Model Inference
  25. NeurIPS 2024Long-range Meta-path Search on Large-scale Heterogeneous Graphs
  26. NeurIPS 2024MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs
  27. NeurIPS 2024Mixture of Link Predictors on Graphs
  28. NeurIPS 2024MKGL: Mastery of a Three-Word Language
  29. NeurIPS 2024Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets
  30. NeurIPS 2024Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
  31. NeurIPS 2024Non-convolutional graph neural networks.
  32. NeurIPS 2024Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
  33. NeurIPS 2024On the Scalability of GNNs for Molecular Graphs
  34. NeurIPS 2024Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
  35. NeurIPS 2024Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
  36. NeurIPS 2024Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
  37. NeurIPS 2024PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
  38. NeurIPS 2024Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
  39. NeurIPS 2024Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust
  40. NeurIPS 2024ProG: A Graph Prompt Learning Benchmark
  41. NeurIPS 2024Pruning neural network models for gene regulatory dynamics using data and domain knowledge
  42. NeurIPS 2024Reasons and Solutions for the Decline in Model Performance after Editing
  43. NeurIPS 2024Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
  44. NeurIPS 2024Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
  45. NeurIPS 2024Right this way: Can VLMs Guide Us to See More to Answer Questions?
  46. NeurIPS 2024Robust Offline Active Learning on Graphs
  47. NeurIPS 2024RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
  48. NeurIPS 2024S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
  49. NeurIPS 2024Sample Efficient Bayesian Learning of Causal Graphs from Interventions
  50. NeurIPS 2024Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data

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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