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 3 / 11 页

  1. NeurIPS 2026Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
  2. NeurIPS 2026RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with LLMs
  3. NeurIPS 2026Robust and Hard-to-Remove GNN Watermarking via Topological Invariant Perception
  4. NeurIPS 2026S3Former: Sequential, Structural, and Statistical Fusion for Continuous-Time Dynamic Graphs
  5. NeurIPS 2026SGNNBench: A Holistic Evaluation of Spiking Graph Neural Networks on Large-scale Graphs
  6. NeurIPS 2026Similarity-Constrained Reweighting for Complex Query Answering on Knowledge Graphs
  7. NeurIPS 2026Simple yet Effective Semi-supervised Knowledge Distillation from Vision-Language Models via Dual-Head Optimization
  8. NeurIPS 2026SKIM: Pruning Large Language Model Agents via Selective Knowledge Informed Masking
  9. NeurIPS 2026Spatial Representation Distillation and Knowledge Routing for Vision-Language-Action Models
  10. NeurIPS 2026Speculative Self-Distillation enables Efficient Knowledge Internalization
  11. NeurIPS 2026Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR
  12. NeurIPS 2026The Fractured Interlingua: Geometric Bottlenecks in Cross-Lingual Knowledge Editing
  13. NeurIPS 2026The Geometry of Forgetting: Temporal Knowledge Drift as an Independent Axis in LLM Representations
  14. NeurIPS 2026The Graph Concept Bottleneck: Decoding Combinatorial Reasoning in GNNs for Interpretability
  15. NeurIPS 2026The Illusion of Forgetting: Rank Leakage in Knowledge Editing and Its Mitigation
  16. NeurIPS 2026The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation
  17. NeurIPS 2026The Query Complexity of Local Search in Rounds on General Graphs
  18. NeurIPS 2026They Can See It but not Say It: Iterative Self Knowledge Re-expression in Visual Reasoning Relative Pose Identification
  19. NeurIPS 2026Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning
  20. NeurIPS 2026Towards Generalist Graph-Level Anomaly Detection
  21. NeurIPS 2026Towards Precise Knowledge Distillation for Large Language Models via Knowledge Probing
  22. NeurIPS 2026Transformers Provably Learn Graph Search: Training Dynamics and the Exponential Power of Depth
  23. NeurIPS 2026Traversal-Invariant Positional Encoding for Serialized Graphs
  24. NeurIPS 2026Tree Search With Predictions
  25. NeurIPS 2026UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning
  26. NeurIPS 2026Uncovering Semantic Hierarchies in Text-Attributed Graphs via Variational EM-based LLM–GNN Synergy
  27. NeurIPS 2026VOID: Backdoor Injection through Knowledge Vacuity in Federated Unlearning
  28. NeurIPS 2026Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs
  29. NeurIPS 2026Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them
  30. NeurIPS 2026When Does Fine-Tuning Extract Stored Knowledge? A Relation-Covering Theory for One-Layer Transformers
  31. NeurIPS 2026xVGAE: A Hierarchical Variational Graph Autoencoder for Exchangeable Graphs
  32. NeurIPS 2026You Don’t Need Aligned Representations: Knowledge Distillation via Random Prototype Spaces
  33. NeurIPS 2026Your Embedding Model Is SMARTer Than You Think
  34. NeurIPS 2025$\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning
  35. NeurIPS 2025A CLT for Polynomial GNNs on Community-Based Graphs
  36. NeurIPS 2025A Pre-training Framework for Relational Data with Information-theoretic Principles
  37. NeurIPS 2025A Signed Graph Approach to Understanding and Mitigating Oversmoothing
  38. NeurIPS 2025A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone
  39. NeurIPS 2025AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders
  40. NeurIPS 2025Adjusted Count Quantification Learning on Graphs
  41. NeurIPS 2025Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
  42. NeurIPS 2025Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
  43. NeurIPS 2025C$^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning
  44. NeurIPS 2025Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
  45. NeurIPS 2025Characterization and Learning of Causal Graphs from Hard Interventions
  46. NeurIPS 2025Co-Regularization Enhances Knowledge Transfer in High Dimensions
  47. NeurIPS 2025Codifying Character Logic in Role-Playing
  48. NeurIPS 2025Conditional Diffusion Anomaly Modeling on Graphs
  49. NeurIPS 2025Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text
  50. NeurIPS 2025Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework

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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