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 287 篇，第 4 / 6 页

  1. ICML 2023Ewald-based Long-Range Message Passing for Molecular Graphs
  2. ICML 2023Expectation-Complete Graph Representations with Homomorphisms
  3. ICML 2023Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
  4. ICML 2023Exphormer: Sparse Transformers for Graphs
  5. ICML 2023Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
  6. ICML 2023Fair Neighbor Embedding
  7. ICML 2023Fast Online Node Labeling for Very Large Graphs
  8. ICML 2023Featured Graph Coarsening with Similarity Guarantees
  9. ICML 2023Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
  10. ICML 2023Fisher Information Embedding for Node and Graph Learning
  11. ICML 2023GOAT: A Global Transformer on Large-scale Graphs
  12. ICML 2023GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
  13. ICML 2023Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
  14. ICML 2023Graph Mixup with Soft Alignments
  15. ICML 2023Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure
  16. ICML 2023Graph Neural Tangent Kernel: Convergence on Large Graphs
  17. ICML 2023Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
  18. ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
  19. ICML 2023Implicit Graph Neural Networks: A Monotone Operator Viewpoint
  20. ICML 2023InGram: Inductive Knowledge Graph Embedding via Relation Graphs
  21. ICML 2023Integrating Prior Knowledge in Contrastive Learning with Kernel
  22. ICML 2023Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
  23. ICML 2023Knowledge Hypergraph Embedding Meets Relational Algebra
  24. ICML 2023Large Language Models Struggle to Learn Long-Tail Knowledge
  25. ICML 2023LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
  26. ICML 2023Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
  27. ICML 2023Linear optimal partial transport embedding
  28. ICML 2023Local Vertex Colouring Graph Neural Networks
  29. ICML 2023Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single
  30. ICML 2023MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement
  31. ICML 2023Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs
  32. ICML 2023Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
  33. ICML 2023On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs
  34. ICML 2023On the Impact of Knowledge Distillation for Model Interpretability
  35. ICML 2023One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding
  36. ICML 2023Online Learning with Feedback Graphs: The True Shape of Regret
  37. ICML 2023Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
  38. ICML 2023Quantum 3D Graph Learning with Applications to Molecule Embedding
  39. ICML 2023Regression with Label Permutation in Generalized Linear Model
  40. ICML 2023Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching
  41. ICML 2023Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge
  42. ICML 2023Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
  43. ICML 2023RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents
  44. ICML 2023SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching
  45. ICML 2023Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains
  46. ICML 2023Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model
  47. ICML 2023SlotGAT: Slot-based Message Passing for Heterogeneous Graphs
  48. ICML 2023Speeding Up Bellman Ford via Minimum Violation Permutations
  49. ICML 2023Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs
  50. ICML 2023Structured Cooperative Learning with Graphical Model Priors

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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