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 103 篇，第 1 / 3 页

1. ICML 2024A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
2. ICML 2024Adaptive Proximal Gradient Methods Are Universal Without Approximation
3. ICML 2024Ambiguity-Aware Abductive Learning
4. ICML 2024An Empirical Study of Realized GNN Expressiveness
5. ICML 2024Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification
6. ICML 2024Bayesian Program Learning by Decompiling Amortized Knowledge
7. ICML 2024Bipartite Matching in Massive Graphs: A Tight Analysis of EDCS
8. ICML 2024Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
9. ICML 2024CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback
10. ICML 2024Class-Imbalanced Graph Learning without Class Rebalancing
11. ICML 2024Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
12. ICML 2024Community-Invariant Graph Contrastive Learning
13. ICML 2024Comparing Graph Transformers via Positional Encodings
14. ICML 2024Convergence Guarantees for the DeepWalk Embedding on Block Models
15. ICML 2024DetKDS: Knowledge Distillation Search for Object Detectors
16. ICML 2024Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View
17. ICML 2024DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
18. ICML 2024Differentially Private Decentralized Learning with Random Walks
19. ICML 2024Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
20. ICML 2024Do Topological Characteristics Help in Knowledge Distillation?
21. ICML 2024DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
22. ICML 2024Dynamic Metric Embedding into lp Space
23. ICML 2024Dynamic Spectral Clustering with Provable Approximation Guarantee
24. ICML 2024Efficient Contextual Bandits with Uninformed Feedback Graphs
25. ICML 2024Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
26. ICML 2024Empowering Graph Invariance Learning with Deep Spurious Infomax
27. ICML 2024Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
28. ICML 2024EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
29. ICML 2024Exploring Correlations of Self-Supervised Tasks for Graphs
30. ICML 2024Faster Streaming and Scalable Algorithms for Finding Directed Dense Subgraphs in Large Graphs
31. ICML 2024Federated Continual Learning via Prompt-based Dual Knowledge Transfer
32. ICML 2024FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion
33. ICML 2024From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
34. ICML 2024Gaussian Processes on Cellular Complexes
35. ICML 2024Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
36. ICML 2024Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
37. ICML 2024GPTSwarm: Language Agents as Optimizable Graphs
38. ICML 2024Graph As Point Set
39. ICML 2024Graph Automorphism Group Equivariant Neural Networks
40. ICML 2024Graph Mixup on Approximate Gromov–Wasserstein Geodesics
41. ICML 2024Graph Neural Network Explanations are Fragile
42. ICML 2024Graph Neural Networks Use Graphs When They Shouldn't
43. ICML 2024Graph Neural Networks with a Distribution of Parametrized Graphs
44. ICML 2024Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
45. ICML 2024Graph-Triggered Rising Bandits
46. ICML 2024How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
47. ICML 2024Hypergraph-enhanced Dual Semi-supervised Graph Classification
48. ICML 2024Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning
49. ICML 2024Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach
50. ICML 2024Incorporating probabilistic domain knowledge into deep multiple instance learning

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。