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 5 / 11 页

  1. NeurIPS 2025Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning
  2. NeurIPS 2025K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling
  3. NeurIPS 2025KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
  4. NeurIPS 2025KGGen: Extracting Knowledge Graphs from Plain Text with Language Models
  5. NeurIPS 2025KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
  6. NeurIPS 2025Knowledge Distillation of Uncertainty using Deep Latent Factor Model
  7. NeurIPS 2025Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
  8. NeurIPS 2025KScope: A Framework for Characterizing the Knowledge Status of Language Models
  9. NeurIPS 2025LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
  10. NeurIPS 2025Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics
  11. NeurIPS 2025Learning Task-Agnostic Representations through Multi-Teacher Distillation
  12. NeurIPS 2025Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning
  13. NeurIPS 2025Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs
  14. NeurIPS 2025Localizing Knowledge in Diffusion Transformers
  15. NeurIPS 2025Low-degree evidence for computational transition of recovery rate in stochastic block model
  16. NeurIPS 2025MemEIC: A Step Toward Continual and Compositional Knowledge Editing
  17. NeurIPS 2025Memorization in Graph Neural Networks
  18. NeurIPS 2025Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging
  19. NeurIPS 2025Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go
  20. NeurIPS 2025MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes
  21. NeurIPS 2025ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs
  22. NeurIPS 2025MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
  23. NeurIPS 2025MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation
  24. NeurIPS 2025Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
  25. NeurIPS 2025Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
  26. NeurIPS 2025Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
  27. NeurIPS 2025Neural Tangent Knowledge Distillation for Optical Convolutional Networks
  28. NeurIPS 2025NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval
  29. NeurIPS 2025NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference
  30. NeurIPS 2025OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration
  31. NeurIPS 2025On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
  32. NeurIPS 2025On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
  33. NeurIPS 2025On the Universal Near Optimality of Hedge in Combinatorial Settings
  34. NeurIPS 2025One for All: Universal Topological Primitive Transfer for Graph Structure Learning
  35. NeurIPS 2025Optimal community detection in dense bipartite graphs
  36. NeurIPS 2025OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation
  37. NeurIPS 2025Pattern-Guided Adaptive Prior for Structure Learning
  38. NeurIPS 2025Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
  39. NeurIPS 2025PLD: A Choice-Theoretic List-Wise Knowledge Distillation
  40. NeurIPS 2025pLSTM: parallelizable Linear Source Transition Mark networks
  41. NeurIPS 2025Preference-driven Knowledge Distillation for Few-shot Node Classification
  42. NeurIPS 2025PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
  43. NeurIPS 2025Probing Hidden Knowledge Holes in Unlearned LLMs
  44. NeurIPS 2025ProDAG: Projected Variational Inference for Directed Acyclic Graphs
  45. NeurIPS 2025Pseudo-Riemannian Graph Transformer
  46. NeurIPS 2025Quantifying Elicitation of Latent Capabilities in Language Models
  47. NeurIPS 2025RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
  48. NeurIPS 2025ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG
  49. NeurIPS 2025Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification
  50. NeurIPS 2025Rethinking Residual Distribution in Locate-then-Edit Model Editing

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。

「图与结构化数据」下的其他主题