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 1,715 篇，第 33 / 35 页

  1. ICML 2023Knowledge Hypergraph Embedding Meets Relational Algebra
  2. ICML 2023Large Language Models Struggle to Learn Long-Tail Knowledge
  3. ICML 2023LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
  4. ICML 2023Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
  5. ICML 2023Linear optimal partial transport embedding
  6. ICML 2023Local Vertex Colouring Graph Neural Networks
  7. ICML 2023Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single
  8. ICML 2023MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement
  9. ICML 2023Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs
  10. ICML 2023Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
  11. ICML 2023On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs
  12. ICML 2023On the Impact of Knowledge Distillation for Model Interpretability
  13. ICML 2023One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding
  14. ICML 2023Online Learning with Feedback Graphs: The True Shape of Regret
  15. ICML 2023Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
  16. ICML 2023Quantum 3D Graph Learning with Applications to Molecule Embedding
  17. ICML 2023Regression with Label Permutation in Generalized Linear Model
  18. ICML 2023Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching
  19. ICML 2023Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge
  20. ICML 2023Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
  21. ICML 2023RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents
  22. ICML 2023SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching
  23. ICML 2023Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains
  24. ICML 2023Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model
  25. ICML 2023SlotGAT: Slot-based Message Passing for Heterogeneous Graphs
  26. ICML 2023Speeding Up Bellman Ford via Minimum Violation Permutations
  27. ICML 2023Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs
  28. ICML 2023Structured Cooperative Learning with Graphical Model Priors
  29. ICML 2023Taming graph kernels with random features
  30. ICML 2023TIDE: Time Derivative Diffusion for Deep Learning on Graphs
  31. ICML 2023Tight and fast generalization error bound of graph embedding in metric space
  32. ICML 2023Total Variation Graph Neural Networks
  33. ICML 2023Towards Robust Graph Incremental Learning on Evolving Graphs
  34. ICML 2023Towards Understanding and Reducing Graph Structural Noise for GNNs
  35. ICML 2023Transformers Meet Directed Graphs
  36. ICML 2023Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees
  37. ICML 2023What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings
  38. ICML 2023Who Needs to Know? Minimal Knowledge for Optimal Coordination
  39. ICML 2023WL meet VC
  40. NeurIPS 2023A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking
  41. NeurIPS 2023A Fractional Graph Laplacian Approach to Oversmoothing
  42. NeurIPS 2023A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
  43. NeurIPS 2023A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
  44. NeurIPS 2023Accelerating Molecular Graph Neural Networks via Knowledge Distillation
  45. NeurIPS 2023Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
  46. NeurIPS 2023Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
  47. NeurIPS 2023Bayesian Optimisation of Functions on Graphs
  48. NeurIPS 2023Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
  49. NeurIPS 2023Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
  50. NeurIPS 2023Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond

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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