知识图谱论文趋势 2023–2026

主要结论

• 知识图谱论文从 2023 年的 287 篇增长到 2026 年的 536 篇，三年间扩大到约 1.9 倍。
• ICLR 是发知识图谱论文最多的会议，2023–2026 年共 571 篇，占四个会议总量的 33%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 17 篇增至 2026 年的 93 篇。
• 在「图与结构化数据」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的时间序列是 3.2 倍，知识图谱是 1.9 倍。

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

• NeurIPS 2026Aligning LLMs with Biomedical Knowledge using Balanced Fine-Tuning
• ICML 2026Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs
• ICLR 2026$\ell_1$ Latent Distance based Continuous-time Graph Representation
• CVPR 2026A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling
• NeurIPS 2025A CLT for Polynomial GNNs on Community-Based Graphs
• ICML 2025A Selective Learning Method for Temporal Graph Continual Learning
• ICLR 2025$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning
• CVPR 2025A Hubness Perspective on Representation Learning for Graph-Based Multi-View Clustering
• NeurIPS 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
• ICML 2024Bipartite Matching in Massive Graphs: A Tight Analysis of EDCS
• ICLR 2024A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
• CVPR 2024De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts
• NeurIPS 2023A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking
• ICML 2023A Generalization of ViT/MLP-Mixer to Graphs
• ICLR 2023A Differential Geometric View and Explainability of GNN on Evolving Graphs
• CVPR 2023A Unified Knowledge Distillation Framework for Deep Directed Graphical Models
• NeurIPS 2026AT-SKM-Net: An Accelerated Trainable Sampling Kaczmarz-Motzkin Framework for Linear Hard-Constraint Feasibility on Dynamic Graphs
• ICML 2026Cross-Modal Knowledge Distillation without Paired Data: Theoretical Foundation and Algorithm
• ICLR 2026A Graph Meta-Network for Learning on Kolmogorov–Arnold Networks
• CVPR 2026Distilling Balanced Knowledge from a Biased Teacher

全部知识图谱论文

共 78 篇，第 1 / 2 页

1. ICLR 2023A Differential Geometric View and Explainability of GNN on Evolving Graphs
2. ICLR 2023A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
3. ICLR 2023A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
4. ICLR 2023AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
5. ICLR 2023Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
6. ICLR 2023Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
7. ICLR 2023Characterizing the Influence of Graph Elements
8. ICLR 2023Composing Task Knowledge With Modular Successor Feature Approximators
9. ICLR 2023Confidence-Based Feature Imputation for Graphs with Partially Known Features
10. ICLR 2023Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
11. ICLR 2023Dataless Knowledge Fusion by Merging Weights of Language Models
12. ICLR 2023DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
13. ICLR 2023DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
14. ICLR 2023Deep Ensembles for Graphs with Higher-order Dependencies
15. ICLR 2023Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
16. ICLR 2023Discovering Latent Knowledge in Language Models Without Supervision
17. ICLR 2023Dual Algorithmic Reasoning
18. ICLR 2023Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
19. ICLR 2023Explaining Temporal Graph Models through an Explorer-Navigator Framework
20. ICLR 2023ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
21. ICLR 2023Fair Attribute Completion on Graph with Missing Attributes
22. ICLR 2023Function-Consistent Feature Distillation
23. ICLR 2023GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
24. ICLR 2023Gradient Boosting Performs Gaussian Process Inference
25. ICLR 2023Gradient Gating for Deep Multi-Rate Learning on Graphs
26. ICLR 2023Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
27. ICLR 2023Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
28. ICLR 2023HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
29. ICLR 2023IDEAL: Query-Efficient Data-Free Learning from Black-Box Models
30. ICLR 2023KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
31. ICLR 2023Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
32. ICLR 2023Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
33. ICLR 2023Latent Graph Inference using Product Manifolds
34. ICLR 2023Learnable Graph Convolutional Attention Networks
35. ICLR 2023Learning Fair Graph Representations via Automated Data Augmentations
36. ICLR 2023Learning Hierarchical Protein Representations via Complete 3D Graph Networks
37. ICLR 2023Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
38. ICLR 2023Learning on Large-scale Text-attributed Graphs via Variational Inference
39. ICLR 2023Learning Structured Representations by Embedding Class Hierarchy
40. ICLR 2023LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
41. ICLR 2023Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
42. ICLR 2023Logical Message Passing Networks with One-hop Inference on Atomic Formulas
43. ICLR 2023LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
44. ICLR 2023Meta Knowledge Condensation for Federated Learning
45. ICLR 2023Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning
46. ICLR 2023Multimodal Analogical Reasoning over Knowledge Graphs
47. ICLR 2023NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
48. ICLR 2023Neural Compositional Rule Learning for Knowledge Graph Reasoning
49. ICLR 2023NORM: Knowledge Distillation via N-to-One Representation Matching
50. ICLR 2023Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework

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。