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 18 / 35 页

  1. NeurIPS 2025A Pre-training Framework for Relational Data with Information-theoretic Principles
  2. NeurIPS 2025A Signed Graph Approach to Understanding and Mitigating Oversmoothing
  3. NeurIPS 2025A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone
  4. NeurIPS 2025AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
  5. NeurIPS 2025Adjusted Count Quantification Learning on Graphs
  6. NeurIPS 2025Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
  7. NeurIPS 2025Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
  8. NeurIPS 2025C$^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning
  9. NeurIPS 2025Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
  10. NeurIPS 2025Characterization and Learning of Causal Graphs from Hard Interventions
  11. NeurIPS 2025Co-Regularization Enhances Knowledge Transfer in High Dimensions
  12. NeurIPS 2025Codifying Character Logic in Role-Playing
  13. NeurIPS 2025Conditional Diffusion Anomaly Modeling on Graphs
  14. NeurIPS 2025Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text
  15. NeurIPS 2025Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
  16. NeurIPS 2025Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
  17. NeurIPS 2025Curriculum Abductive Learning
  18. NeurIPS 2025Data Mixing Can Induce Phase Transitions in Knowledge Acquisition
  19. NeurIPS 2025DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases
  20. NeurIPS 2025Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models
  21. NeurIPS 2025DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
  22. NeurIPS 2025Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs
  23. NeurIPS 2025Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
  24. NeurIPS 2025Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer
  25. NeurIPS 2025Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
  26. NeurIPS 2025Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
  27. NeurIPS 2025Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
  28. NeurIPS 2025Distribution Learning Meets Graph Structure Sampling
  29. NeurIPS 2025DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning
  30. NeurIPS 2025Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
  31. NeurIPS 2025DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion
  32. NeurIPS 2025DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
  33. NeurIPS 2025Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
  34. NeurIPS 2025Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
  35. NeurIPS 2025Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem
  36. NeurIPS 2025Efficient Verified Unlearning For Distillation
  37. NeurIPS 2025Elastic Robust Unlearning of Specific Knowledge in Large Language Models
  38. NeurIPS 2025Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation
  39. NeurIPS 2025Embeddings as Probabilistic Equivalence in Logic Programs
  40. NeurIPS 2025Enhancing LLM Planning for Robotics Manipulation through Hierarchical Procedural Knowledge Graphs
  41. NeurIPS 2025Estimating Hitting Times Locally at Scale
  42. NeurIPS 2025Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
  43. NeurIPS 2025Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
  44. NeurIPS 2025Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
  45. NeurIPS 2025Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement
  46. NeurIPS 2025FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning
  47. NeurIPS 2025FedIGL: Federated Invariant Graph Learning for Non-IID Graphs
  48. NeurIPS 2025Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation
  49. NeurIPS 2025Flatten Graphs as Sequences: Transformers are Scalable Graph Generators
  50. NeurIPS 2025Flick: Empowering Federated Learning with Commonsense Knowledge

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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