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 1,715 篇,第 11 / 35 页

  1. NeurIPS 2026REGATE: Confidence-Calibrated Integration of Temporally-Aligned Exogenous Texts for Dynamic Graphs
  2. NeurIPS 2026Rethinking Knowledge Distillation for Diffusion Language Models
  3. NeurIPS 2026Return to Basics: Very Simple Graph Contrastive Learning via Noise Cancellation Principle
  4. NeurIPS 2026Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
  5. NeurIPS 2026RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with LLMs
  6. NeurIPS 2026Robust and Hard-to-Remove GNN Watermarking via Topological Invariant Perception
  7. NeurIPS 2026S3Former: Sequential, Structural, and Statistical Fusion for Continuous-Time Dynamic Graphs
  8. NeurIPS 2026SGNNBench: A Holistic Evaluation of Spiking Graph Neural Networks on Large-scale Graphs
  9. NeurIPS 2026Similarity-Constrained Reweighting for Complex Query Answering on Knowledge Graphs
  10. NeurIPS 2026Simple yet Effective Semi-supervised Knowledge Distillation from Vision-Language Models via Dual-Head Optimization
  11. NeurIPS 2026SKIM: Pruning Large Language Model Agents via Selective Knowledge Informed Masking
  12. NeurIPS 2026Spatial Representation Distillation and Knowledge Routing for Vision-Language-Action Models
  13. NeurIPS 2026Speculative Self-Distillation enables Efficient Knowledge Internalization
  14. NeurIPS 2026Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR
  15. NeurIPS 2026The Fractured Interlingua: Geometric Bottlenecks in Cross-Lingual Knowledge Editing
  16. NeurIPS 2026The Geometry of Forgetting: Temporal Knowledge Drift as an Independent Axis in LLM Representations
  17. NeurIPS 2026The Graph Concept Bottleneck: Decoding Combinatorial Reasoning in GNNs for Interpretability
  18. NeurIPS 2026The Illusion of Forgetting: Rank Leakage in Knowledge Editing and Its Mitigation
  19. NeurIPS 2026The Override Gap: A Magnitude Account of Knowledge Conflict Failure in Hypernetwork-Based Instant LLM Adaptation
  20. NeurIPS 2026The Query Complexity of Local Search in Rounds on General Graphs
  21. NeurIPS 2026They Can See It but not Say It: Iterative Self Knowledge Re-expression in Visual Reasoning Relative Pose Identification
  22. NeurIPS 2026Towards Explainable Industrial Anomaly Detection via Knowledge-Guided Latent Reasoning
  23. NeurIPS 2026Towards Generalist Graph-Level Anomaly Detection
  24. NeurIPS 2026Towards Precise Knowledge Distillation for Large Language Models via Knowledge Probing
  25. NeurIPS 2026Transformers Provably Learn Graph Search: Training Dynamics and the Exponential Power of Depth
  26. NeurIPS 2026Traversal-Invariant Positional Encoding for Serialized Graphs
  27. NeurIPS 2026Tree Search With Predictions
  28. NeurIPS 2026UFO: A Unified Flow-Oriented Framework for Robust Continual Graph Learning
  29. NeurIPS 2026Uncovering Semantic Hierarchies in Text-Attributed Graphs via Variational EM-based LLM–GNN Synergy
  30. NeurIPS 2026VOID: Backdoor Injection through Knowledge Vacuity in Federated Unlearning
  31. NeurIPS 2026Weisfeiler and Leman Follow the Arrow of Time: Expressive Power of Message Passing in Temporal Event Graphs
  32. NeurIPS 2026Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them
  33. NeurIPS 2026When Does Fine-Tuning Extract Stored Knowledge? A Relation-Covering Theory for One-Layer Transformers
  34. NeurIPS 2026xVGAE: A Hierarchical Variational Graph Autoencoder for Exchangeable Graphs
  35. NeurIPS 2026You Don’t Need Aligned Representations: Knowledge Distillation via Random Prototype Spaces
  36. NeurIPS 2026Your Embedding Model Is SMARTer Than You Think
  37. CVPR 2025A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering
  38. CVPR 2025A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains
  39. CVPR 2025Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Large Model Enhancement
  40. CVPR 2025Alignment, Mining and Fusion: Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion for Medical Visual Question Answering
  41. CVPR 2025Asynchronous Collaborative Graph Representation for Frames and Events
  42. CVPR 2025Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering
  43. CVPR 2025BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs
  44. CVPR 2025Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge
  45. CVPR 2025Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs
  46. CVPR 2025Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
  47. CVPR 2025DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identification
  48. CVPR 2025DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
  49. CVPR 2025ESC: Erasing Space Concept for Knowledge Deletion
  50. CVPR 2025Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation

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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