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 536 篇,第 10 / 11 页

  1. NeurIPS 2026Hierarchical Regime-Conditioned Dynamics for Spatiotemporal Graphs
  2. NeurIPS 2026How well behaved is finite dimensional Diffusion Maps embedding?
  3. NeurIPS 2026Hydra: Towards Transferable Multi-Task Learning on Temporal Graphs
  4. NeurIPS 2026Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs
  5. NeurIPS 2026Integrating Background Knowledge for Scalable Causal Discovery
  6. NeurIPS 2026Interactive Combinatorial Reinforcement Learning for Knowledge Graph Reasoning
  7. NeurIPS 2026Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists
  8. NeurIPS 2026Joint Certification for Attributed Graphs: Beyond Topology-Only Robustness
  9. NeurIPS 2026K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs
  10. NeurIPS 2026KDASO: Knowledge-Data Dual-Driven Automated Skill Optimization for Liability Adjudication Task
  11. NeurIPS 2026KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering
  12. NeurIPS 2026KnowEvo: Knowledge Evolution for Protein Optimization
  13. NeurIPS 2026Knowledge Localization in Mixture-of-Experts LLMs Using Cross-Lingual Inconsistency
  14. NeurIPS 2026LeAct: Learning to Reason from Expert Actions
  15. NeurIPS 2026Learning Minimal Sufficient Evidence Graphs for GraphRAG via Nash-Guided Optimization
  16. NeurIPS 2026Learning Pseudo-Riemannian Manifolds for Heterophilic Graphs via Graph Signature
  17. NeurIPS 2026Learning to Evolve Scenes: Reasoning about Human Activities with Scene Graphs
  18. NeurIPS 2026LibEvoBench: Probing Temporal Knowledge Stratification in Code Generation Models
  19. NeurIPS 2026LittleLearner: Language Models Under Pedagogically-Controlled Knowledge Exposure
  20. NeurIPS 2026Load Balancing Mixture of Experts with Similarity Preserving Routers
  21. NeurIPS 2026Logistic Bandits with $\tilde{O}(\sqrt{dT})$ Regret without Context Diversity Assumptions
  22. NeurIPS 2026LUMOS: Tracing Parametric Knowledge from Training Data to Behavioral Outputs in LLMs
  23. NeurIPS 2026Manifold Random Features
  24. NeurIPS 2026MaPPO: Maximum a Posteriori Preference Optimization with Prior Knowledge
  25. NeurIPS 2026Mean-Field Control on Sparse Graphs: From Local Limits to GNNs via Neighborhood Distributions
  26. NeurIPS 2026MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models
  27. NeurIPS 2026MedZERO: Self-Evolving Agents for Open-Ended Medical Reasoning Through Controlled Knowledge Accumulation
  28. NeurIPS 2026MemCoRe: Recovering Evidence from Progressively Compressed Factual Knowledge for Agent Memory
  29. NeurIPS 2026MetaKE: Meta-Learning for Knowledge Editing Toward a Better Accuracy-Editability Trade-off
  30. NeurIPS 2026MicroWorld: Empowering Multimodal Large Language Models to Bridge the Microscopic Domain Gap with Multimodal Attribute Graph
  31. NeurIPS 2026MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents
  32. NeurIPS 2026MM-DyGraph: A Dataset, Benchmark, and Model for Multimodal Dynamic Graphs
  33. NeurIPS 2026MMGraph-Agent: Agentic Multimodal RAG via Cache-Inspired Multimodal Knowledge HyperGraphs
  34. NeurIPS 2026Near-Linear Time Generalized Sinkhorn Algorithms for Bounded Genus Graphs
  35. NeurIPS 2026NeSyKC: Neurosymbolic Knowledge Compilation For Lifelong Learning Embodied Agents
  36. NeurIPS 2026NeuralFieldManifold: Reconstruction of LFP manifold with Lag Embedding
  37. NeurIPS 2026Neuro-KE: Knowledge-Guided Interfaces for Semantically Grounded EEG Foundation Models
  38. NeurIPS 2026NGDB-Zoo: Towards Efficient and Scalable Neural Graph Databases Training
  39. NeurIPS 2026Noisy isomorphism: Robust expressivity of GNNs under structural perturbation
  40. NeurIPS 2026On the Fragility of Latent Knowledge: Layer-wise Influence under Unlearning in Large Language Model
  41. NeurIPS 2026One-Shot Federated Graph Learning via High-Fidelity Proxies and Transferability-Guided Collaboration
  42. NeurIPS 2026Overthinking as a Symptom of Knowledge Conflict: Understanding and Detecting LLM's Hallucinations in Retrieval-Augmented Question Answering
  43. NeurIPS 2026Permutation-Invariant Spectral Learning via Dyson Diffusion
  44. NeurIPS 2026PerturbReason: A Knowledge-Grounded Benchmark and Framework for Cell-State–Conditioned Mechanistic Reasoning of Perturbation Effects
  45. NeurIPS 2026PhysGraphNet: Physical-State Scene Graphs via Latent Graph Reasoning and Counterfactual Supervision
  46. NeurIPS 2026Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement
  47. NeurIPS 2026RadOmni: Advancing Foundation Model for Non-contrast CT with Omni Radiology Knowledge
  48. NeurIPS 2026Reasoning over Coupled Receptive Fields: Eliminating Subgraph Redundancy at Scale
  49. NeurIPS 2026Reasoning Pathologies in Large Language Models: A Diagnostic Perspective
  50. NeurIPS 2026Reconfiguring Procedural Knowledge for Compositional Robot Skill Adaptation

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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