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 32 / 35 页

  1. ICLR 2023Scaffolding a Student to Instill Knowledge
  2. ICLR 2023Sign and Basis Invariant Networks for Spectral Graph Representation Learning
  3. ICLR 2023simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
  4. ICLR 2023Spacetime Representation Learning
  5. ICLR 2023Specformer: Spectral Graph Neural Networks Meet Transformers
  6. ICLR 2023Spectral Augmentation for Self-Supervised Learning on Graphs
  7. ICLR 2023Subsampling in Large Graphs Using Ricci Curvature
  8. ICLR 2023Supervision Complexity and its Role in Knowledge Distillation
  9. ICLR 2023Teacher Guided Training: An Efficient Framework for Knowledge Transfer
  10. ICLR 2023The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
  11. ICLR 2023The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
  12. ICLR 2023TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
  13. ICLR 2023Towards Open Temporal Graph Neural Networks
  14. ICLR 2023Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
  15. ICLR 2023UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
  16. ICLR 2023Unveiling the sampling density in non-uniform geometric graphs
  17. ICLR 2023Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
  18. ICML 2023A Generalization of ViT/MLP-Mixer to Graphs
  19. ICML 2023All in a Row: Compressed Convolution Networks for Graphs
  20. ICML 2023Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
  21. ICML 2023Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
  22. ICML 2023Boosting Graph Contrastive Learning via Graph Contrastive Saliency
  23. ICML 2023Causal Bounds in Quasi-Markovian Graphs
  24. ICML 2023ClusterFuG: Clustering Fully connected Graphs by Multicut
  25. ICML 2023Combinatorial Neural Bandits
  26. ICML 2023Dink-Net: Neural Clustering on Large Graphs
  27. ICML 2023DRew: Dynamically Rewired Message Passing with Delay
  28. ICML 2023E$(n)$ Equivariant Message Passing Simplicial Networks
  29. ICML 2023Ewald-based Long-Range Message Passing for Molecular Graphs
  30. ICML 2023Expectation-Complete Graph Representations with Homomorphisms
  31. ICML 2023Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
  32. ICML 2023Exphormer: Sparse Transformers for Graphs
  33. ICML 2023Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
  34. ICML 2023Fair Neighbor Embedding
  35. ICML 2023Fast Online Node Labeling for Very Large Graphs
  36. ICML 2023Featured Graph Coarsening with Similarity Guarantees
  37. ICML 2023Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
  38. ICML 2023Fisher Information Embedding for Node and Graph Learning
  39. ICML 2023GOAT: A Global Transformer on Large-scale Graphs
  40. ICML 2023GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
  41. ICML 2023Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
  42. ICML 2023Graph Mixup with Soft Alignments
  43. ICML 2023Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure
  44. ICML 2023Graph Neural Tangent Kernel: Convergence on Large Graphs
  45. ICML 2023Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
  46. ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
  47. ICML 2023Implicit Graph Neural Networks: A Monotone Operator Viewpoint
  48. ICML 2023InGram: Inductive Knowledge Graph Embedding via Relation Graphs
  49. ICML 2023Integrating Prior Knowledge in Contrastive Learning with Kernel
  50. ICML 2023Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs

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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