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 31 / 35 页

  1. ICLR 2023DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
  2. ICLR 2023DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
  3. ICLR 2023Deep Ensembles for Graphs with Higher-order Dependencies
  4. ICLR 2023Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
  5. ICLR 2023Discovering Latent Knowledge in Language Models Without Supervision
  6. ICLR 2023Dual Algorithmic Reasoning
  7. ICLR 2023Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
  8. ICLR 2023Explaining Temporal Graph Models through an Explorer-Navigator Framework
  9. ICLR 2023ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
  10. ICLR 2023Fair Attribute Completion on Graph with Missing Attributes
  11. ICLR 2023Function-Consistent Feature Distillation
  12. ICLR 2023GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
  13. ICLR 2023Gradient Boosting Performs Gaussian Process Inference
  14. ICLR 2023Gradient Gating for Deep Multi-Rate Learning on Graphs
  15. ICLR 2023Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
  16. ICLR 2023Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
  17. ICLR 2023HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
  18. ICLR 2023IDEAL: Query-Efficient Data-Free Learning from Black-Box Models
  19. ICLR 2023KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
  20. ICLR 2023Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
  21. ICLR 2023Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
  22. ICLR 2023Latent Graph Inference using Product Manifolds
  23. ICLR 2023Learnable Graph Convolutional Attention Networks
  24. ICLR 2023Learning Fair Graph Representations via Automated Data Augmentations
  25. ICLR 2023Learning Hierarchical Protein Representations via Complete 3D Graph Networks
  26. ICLR 2023Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
  27. ICLR 2023Learning on Large-scale Text-attributed Graphs via Variational Inference
  28. ICLR 2023Learning Structured Representations by Embedding Class Hierarchy
  29. ICLR 2023LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
  30. ICLR 2023Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
  31. ICLR 2023Logical Message Passing Networks with One-hop Inference on Atomic Formulas
  32. ICLR 2023LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
  33. ICLR 2023Meta Knowledge Condensation for Federated Learning
  34. ICLR 2023Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning
  35. ICLR 2023Multimodal Analogical Reasoning over Knowledge Graphs
  36. ICLR 2023NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  37. ICLR 2023Neural Compositional Rule Learning for Knowledge Graph Reasoning
  38. ICLR 2023NORM: Knowledge Distillation via N-to-One Representation Matching
  39. ICLR 2023Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
  40. ICLR 2023On Representing Linear Programs by Graph Neural Networks
  41. ICLR 2023On Representing Mixed-Integer Linear Programs by Graph Neural Networks
  42. ICLR 2023Prompting GPT-3 To Be Reliable
  43. ICLR 2023Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning
  44. ICLR 2023Relational Attention: Generalizing Transformers for Graph-Structured Tasks
  45. ICLR 2023Rethinking the Expressive Power of GNNs via Graph Biconnectivity
  46. ICLR 2023Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective
  47. ICLR 2023Revisiting Robustness in Graph Machine Learning
  48. ICLR 2023Robust Active Distillation
  49. ICLR 2023Robust Graph Dictionary Learning
  50. ICLR 2023ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on 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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