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 99 篇，第 1 / 2 页

1. ICML 2025A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
2. ICML 2025A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features
3. ICML 2025A Selective Learning Method for Temporal Graph Continual Learning
4. ICML 2025ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence
5. ICML 2025Adaptive Localization of Knowledge Negation for Continual LLM Unlearning
6. ICML 2025Algorithms and Hardness for Active Learning on Graphs
7. ICML 2025An Improved Clique-Picking Algorithm for Counting Markov Equivalent DAGs via Super Cliques Transfer
8. ICML 2025AnyEdit: Edit Any Knowledge Encoded in Language Models
9. ICML 2025Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
10. ICML 2025Beyond Message Passing: Neural Graph Pattern Machine
11. ICML 2025Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
12. ICML 2025Bridging Layout and RTL: Knowledge Distillation based Timing Prediction
13. ICML 2025CoDy: Counterfactual Explainers for Dynamic Graphs
14. ICML 2025Commute Graph Neural Networks
15. ICML 2025Componential Prompt-Knowledge Alignment for Domain Incremental Learning
16. ICML 2025Core Knowledge Deficits in Multi-Modal Language Models
17. ICML 2025Cross-City Latent Space Alignment for Consistency Region Embedding
18. ICML 2025CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs
19. ICML 2025De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs
20. ICML 2025Directed Graph Grammars for Sequence-based Learning
21. ICML 2025Discovering Latent Causal Graphs from Spatiotemporal Data
22. ICML 2025Distilling the Knowledge in Data Pruning
23. ICML 2025Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis
24. ICML 2025Dynamic Similarity Graph Construction with Kernel Density Estimation
25. ICML 2025Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
26. ICML 2025Enhancing Foundation Models with Federated Domain Knowledge Infusion
27. ICML 2025Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance
28. ICML 2025Enhancing Logits Distillation with Plug&Play Kendall's $\tau$ Ranking Loss
29. ICML 2025From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning
30. ICML 2025From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers
31. ICML 2025Fully Dynamic Embedding into $\ell_p$ Spaces
32. ICML 2025GCAL: Adapting Graph Models to Evolving Domain Shifts
33. ICML 2025Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models
34. ICML 2025GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
35. ICML 2025Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
36. ICML 2025Graph Minimum Factor Distance and Its Application to Large-Scale Graph Data Clustering
37. ICML 2025Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
38. ICML 2025Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
39. ICML 2025Guided Structural Inference: Leveraging Priors with Soft Gating Mechanisms
40. ICML 2025Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability
41. ICML 2025Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
42. ICML 2025Homophily Enhanced Graph Domain Adaptation
43. ICML 2025How Expressive are Knowledge Graph Foundation Models?
44. ICML 2025Improving Soft Unification with Knowledge Graph Embedding Methods
45. ICML 2025iN2V: Bringing Transductive Node Embeddings to Inductive Graphs
46. ICML 2025Is Complex Query Answering Really Complex?
47. ICML 2025KGMark: A Diffusion Watermark for Knowledge Graphs
48. ICML 2025KIND: Knowledge Integration and Diversion for Training Decomposable Models
49. ICML 2025Knowledge Retention in Continual Model-Based Reinforcement Learning
50. ICML 2025Knowledge Swapping via Learning and Unlearning

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。