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 466 篇，第 9 / 10 页

  1. NeurIPS 2025MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
  2. NeurIPS 2025MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation
  3. NeurIPS 2025Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
  4. NeurIPS 2025Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
  5. NeurIPS 2025Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
  6. NeurIPS 2025Neural Tangent Knowledge Distillation for Optical Convolutional Networks
  7. NeurIPS 2025NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval
  8. NeurIPS 2025NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference
  9. NeurIPS 2025OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration
  10. NeurIPS 2025On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
  11. NeurIPS 2025On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
  12. NeurIPS 2025On the Universal Near Optimality of Hedge in Combinatorial Settings
  13. NeurIPS 2025One for All: Universal Topological Primitive Transfer for Graph Structure Learning
  14. NeurIPS 2025Optimal community detection in dense bipartite graphs
  15. NeurIPS 2025OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation
  16. NeurIPS 2025Pattern-Guided Adaptive Prior for Structure Learning
  17. NeurIPS 2025Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
  18. NeurIPS 2025PLD: A Choice-Theoretic List-Wise Knowledge Distillation
  19. NeurIPS 2025pLSTM: parallelizable Linear Source Transition Mark networks
  20. NeurIPS 2025Preference-driven Knowledge Distillation for Few-shot Node Classification
  21. NeurIPS 2025PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
  22. NeurIPS 2025Probing Hidden Knowledge Holes in Unlearned LLMs
  23. NeurIPS 2025ProDAG: Projected Variational Inference for Directed Acyclic Graphs
  24. NeurIPS 2025Pseudo-Riemannian Graph Transformer
  25. NeurIPS 2025Quantifying Elicitation of Latent Capabilities in Language Models
  26. NeurIPS 2025RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
  27. NeurIPS 2025ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG
  28. NeurIPS 2025Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification
  29. NeurIPS 2025Rethinking Residual Distribution in Locate-then-Edit Model Editing
  30. NeurIPS 2025Root Cause Analysis of Outliers with Missing Structural Knowledge
  31. NeurIPS 2025RvLLM: LLM Runtime Verification with Domain Knowledge
  32. NeurIPS 2025SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater
  33. NeurIPS 2025Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
  34. NeurIPS 2025Scaling Embedding Layers in Language Models
  35. NeurIPS 2025SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation
  36. NeurIPS 2025Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity
  37. NeurIPS 2025Simple and Efficient Heterogeneous Temporal Graph Neural Network
  38. NeurIPS 2025Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
  39. NeurIPS 2025Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
  40. NeurIPS 2025Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
  41. NeurIPS 2025SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
  42. NeurIPS 2025Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
  43. NeurIPS 2025Subgraph Federated Learning via Spectral Methods
  44. NeurIPS 2025The Parameterized Complexity of Computing the VC-Dimension
  45. NeurIPS 2025The quest for the GRAph Level autoEncoder (GRALE)
  46. NeurIPS 2025The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
  47. NeurIPS 2025Token Embeddings Violate the Manifold Hypothesis
  48. NeurIPS 2025TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning
  49. NeurIPS 2025Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients
  50. NeurIPS 2025Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement

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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