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 6 / 11 页

  1. NeurIPS 2025Root Cause Analysis of Outliers with Missing Structural Knowledge
  2. NeurIPS 2025RvLLM: LLM Runtime Verification with Domain Knowledge
  3. NeurIPS 2025SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater
  4. NeurIPS 2025Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
  5. NeurIPS 2025Scaling Embedding Layers in Language Models
  6. NeurIPS 2025SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation
  7. NeurIPS 2025Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity
  8. NeurIPS 2025Simple and Efficient Heterogeneous Temporal Graph Neural Network
  9. NeurIPS 2025Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
  10. NeurIPS 2025Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
  11. NeurIPS 2025Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
  12. NeurIPS 2025SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
  13. NeurIPS 2025Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
  14. NeurIPS 2025Subgraph Federated Learning via Spectral Methods
  15. NeurIPS 2025The Parameterized Complexity of Computing the VC-Dimension
  16. NeurIPS 2025The quest for the GRAph Level autoEncoder (GRALE)
  17. NeurIPS 2025The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
  18. NeurIPS 2025Token Embeddings Violate the Manifold Hypothesis
  19. NeurIPS 2025TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning
  20. NeurIPS 2025Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients
  21. NeurIPS 2025Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement
  22. NeurIPS 2025Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
  23. NeurIPS 2025Towards Pre-trained Graph Condensation via Optimal Transport
  24. NeurIPS 2025Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones
  25. NeurIPS 2025Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
  26. NeurIPS 2025Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations
  27. NeurIPS 2025Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
  28. NeurIPS 2025UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models
  29. NeurIPS 2025Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
  30. NeurIPS 2025UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring
  31. NeurIPS 2025UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge
  32. NeurIPS 2025Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation
  33. NeurIPS 2025Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs
  34. NeurIPS 2025Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
  35. NeurIPS 2025Wavy Transformer
  36. NeurIPS 2025What do you know? Bayesian knowledge inference for navigating agents
  37. NeurIPS 2025Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation
  38. NeurIPS 2024$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
  39. NeurIPS 2024$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs
  40. NeurIPS 2024A Foundation Model for Zero-shot Logical Query Reasoning
  41. NeurIPS 2024A hierarchical decomposition for explaining ML performance discrepancies
  42. NeurIPS 2024A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
  43. NeurIPS 2024A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
  44. NeurIPS 2024A Structure-Aware Framework for Learning Device Placements on Computation Graphs
  45. NeurIPS 2024Achieving Domain-Independent Certified Robustness via Knowledge Continuity
  46. NeurIPS 2024Adversarial Moment-Matching Distillation of Large Language Models
  47. NeurIPS 2024Almost Surely Asymptotically Constant Graph Neural Networks
  48. NeurIPS 2024AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
  49. NeurIPS 2024Bayesian Optimization of Functions over Node Subsets in Graphs
  50. NeurIPS 2024Benchmarking Structural Inference Methods for Interacting Dynamical Systems with Synthetic 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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