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 7 / 35 页

  1. ICML 2026Finding the Minimal Parameter Budget for Implicit Reasoning: A Data Complexity Driven Scaling Law for Language Models
  2. ICML 2026Fix the Mind, Not the Move: Interpretable AI Assistance via Knowledge-Gap Localization
  3. ICML 2026FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space
  4. ICML 2026FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment
  5. ICML 2026From Flat Facts to Sharp Hallucinations: Detecting Stubborn Errors via Gradient Sensitivity
  6. ICML 2026From Knowledge to Inference: Formalizing Specialized Public Health Reasoning on GlobalHealthAtlas
  7. ICML 2026Fully Dynamic Coreset Spectral Clustering
  8. ICML 2026Generalist Graph Anomaly Detection via Prototype-Based Distillation
  9. ICML 2026Generalized Schrödinger Bridge on Graphs
  10. ICML 2026Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion
  11. ICML 2026Geometry-Guided Generative Representation for Functional Brain Graphs
  12. ICML 2026GFedCL: Graph-Based Federated Continual Learning with Spatial and Temporal Awareness
  13. ICML 2026GKD-Recruiter: Jointly Modeling Social and Task Heterogeneity for Spatial Crowdsourcing via Graph Knowledge Distillation
  14. ICML 2026GOCM: Single-Step Graph Outlier Synthesis via Origin Consistency Model
  15. ICML 2026Gradient Transformer: Learning to Generate Updates for LLMs
  16. ICML 2026Graph Neural Networks Are Not Continuous Across Graph Resolutions
  17. ICML 2026GRASP: Graph Reasoning via Agentic Solving and Probing of LLMs
  18. ICML 2026Group-wise Data Ordering: Enhancing Instruction Tuning of Large Language Models via Embedding Proximity
  19. ICML 2026Heterogeneity-Aware Knowledge Sharing for Graph Federated Learning
  20. ICML 2026Hierarchical Causal Abduction: A Foundation Framework for Explainable Model Predictive Control
  21. ICML 2026HieRD: Hierarchical Relational Distillation for Vision-Language Embedding Models
  22. ICML 2026Homophily-Heterogeneity Gradient Surgery for Federated Graph Learning
  23. ICML 2026How can embedding models bind concepts?
  24. ICML 2026HVAE: Hyperbolic Variational Autoencoder For Flexible Knowledge Transfer Across Multiple Domains
  25. ICML 2026INDUCTION: Finite-Structure Concept Synthesis in First-Order Logic
  26. ICML 2026Intra-Modal Neighbors Never Lie: Rectifying Inter-Modal Noisy Correspondence via Graph-Based Intra-Modal Reasoning
  27. ICML 2026InvGNN: Learning Invertible Node Representations on Graphs
  28. ICML 2026KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables
  29. ICML 2026Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
  30. ICML 2026L2G-NET: Local to Global Spectral Graph Neural Networks via Cauchy Factorizations
  31. ICML 2026Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge
  32. ICML 2026Large Language Models as Topological Thinkers: A Benchmark on Graph Persistent Homology
  33. ICML 2026Learn from A Rationalist: Distilling Intermediate Interpretable Rationales
  34. ICML 2026Learnability-Driven Knowledge Assimilation for Class-Incremental Semantic Segmentation
  35. ICML 2026Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
  36. ICML 2026Learning Graph Foundation Models on Riemannian Graph-of-Graphs
  37. ICML 2026Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models
  38. ICML 2026Learning Protein Structure-Function Relationships through Knowledge-guided Representation Decomposition
  39. ICML 2026LECTOR: Joint Learning of Scientific Reasoning Graphs and Introduction Generation
  40. ICML 2026LEGO: An LLM-Enabled Hierarchical Optimizer for Tensor Computation Graphs with Structure-Aware Search and Compositional Synthesis
  41. ICML 2026LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification
  42. ICML 2026Lightweight and Interpretable Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast
  43. ICML 2026LLM-MatLogic: Executable Exchange Contracts for Knowledge-Graph Query Answering with Scoped Negation
  44. ICML 2026Memory as a Markov Matrix: Sample Efficient Knowledge Expansion via Token-to-Dictionary Mapping
  45. ICML 2026MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
  46. ICML 2026Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
  47. ICML 2026More Sail than Ballast: Addressing Harmful Knowledge Leakage in the Expansive Reasoning Space of LRMs
  48. ICML 2026MoshiRAG: Asynchronous Knowledge Retrieval for Full-Duplex Speech Language Models
  49. ICML 2026MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
  50. ICML 2026Neural Dispersion on 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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