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 516 篇，第 4 / 11 页

  1. NeurIPS 2025Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
  2. NeurIPS 2025Curriculum Abductive Learning
  3. NeurIPS 2025Data Mixing Can Induce Phase Transitions in Knowledge Acquisition
  4. NeurIPS 2025DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases
  5. NeurIPS 2025Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models
  6. NeurIPS 2025DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
  7. NeurIPS 2025Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs
  8. NeurIPS 2025Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
  9. NeurIPS 2025Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer
  10. NeurIPS 2025Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
  11. NeurIPS 2025Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
  12. NeurIPS 2025Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
  13. NeurIPS 2025Distribution Learning Meets Graph Structure Sampling
  14. NeurIPS 2025DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning
  15. NeurIPS 2025Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
  16. NeurIPS 2025DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion
  17. NeurIPS 2025DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
  18. NeurIPS 2025Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
  19. NeurIPS 2025Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
  20. NeurIPS 2025Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem
  21. NeurIPS 2025Efficient Verified Unlearning For Distillation
  22. NeurIPS 2025Elastic Robust Unlearning of Specific Knowledge in Large Language Models
  23. NeurIPS 2025Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation
  24. NeurIPS 2025Embeddings as Probabilistic Equivalence in Logic Programs
  25. NeurIPS 2025Enhancing LLM Planning for Robotics Manipulation through Hierarchical Procedural Knowledge Graphs
  26. NeurIPS 2025Estimating Hitting Times Locally at Scale
  27. NeurIPS 2025Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
  28. NeurIPS 2025Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
  29. NeurIPS 2025Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
  30. NeurIPS 2025Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement
  31. NeurIPS 2025FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning
  32. NeurIPS 2025FedIGL: Federated Invariant Graph Learning for Non-IID Graphs
  33. NeurIPS 2025Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation
  34. NeurIPS 2025Flatten Graphs as Sequences: Transformers are Scalable Graph Generators
  35. NeurIPS 2025Flick: Empowering Federated Learning with Commonsense Knowledge
  36. NeurIPS 2025FoGE: Fock Space inspired encoding for graph prompting
  37. NeurIPS 2025Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge
  38. NeurIPS 2025From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning
  39. NeurIPS 2025Graph Diffusion that can Insert and Delete
  40. NeurIPS 2025Graph Persistence goes Spectral
  41. NeurIPS 2025GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
  42. NeurIPS 2025Graphs Help Graphs: Multi-Agent Graph Socialized Learning
  43. NeurIPS 2025GRIP: A Graph-Based Reasoning Instruction Producer
  44. NeurIPS 2025Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings
  45. NeurIPS 2025Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models
  46. NeurIPS 2025How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation
  47. NeurIPS 2025HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling
  48. NeurIPS 2025HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
  49. NeurIPS 2025Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point
  50. NeurIPS 2025Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation

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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