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 153 篇，第 2 / 4 页

51. NeurIPS 2024FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
52. NeurIPS 2024FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
53. NeurIPS 2024FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
54. NeurIPS 2024Finding good policies in average-reward Markov Decision Processes without prior knowledge
55. NeurIPS 2024FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
56. NeurIPS 2024FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
57. NeurIPS 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
58. NeurIPS 2024Generalizing CNNs to graphs with learnable neighborhood quantization
59. NeurIPS 2024Generative Modelling of Structurally Constrained Graphs
60. NeurIPS 2024Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
61. NeurIPS 2024Graph Classification via Reference Distribution Learning: Theory and Practice
62. NeurIPS 2024Graph Coarsening with Message-Passing Guarantees
63. NeurIPS 2024Graph neural networks and non-commuting operators
64. NeurIPS 2024Graph Neural Networks Need Cluster-Normalize-Activate Modules
65. NeurIPS 2024GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
66. NeurIPS 2024GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
67. NeurIPS 2024Harnessing Multiple Correlated Networks for Exact Community Recovery
68. NeurIPS 2024HGDL: Heterogeneous Graph Label Distribution Learning
69. NeurIPS 2024How Do Large Language Models Acquire Factual Knowledge During Pretraining?
70. NeurIPS 2024HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning
71. NeurIPS 2024IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos
72. NeurIPS 2024Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions
73. NeurIPS 2024KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
74. NeurIPS 2024KnowGPT: Knowledge Graph based Prompting for Large Language Models
75. NeurIPS 2024Knowledge Circuits in Pretrained Transformers
76. NeurIPS 2024Knowledge Graph Completion by Intermediate Variables Regularization
77. NeurIPS 2024Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
78. NeurIPS 2024LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations
79. NeurIPS 2024Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
80. NeurIPS 2024Language Models as Hierarchy Encoders
81. NeurIPS 2024Large Language Model Unlearning via Embedding-Corrupted Prompts
82. NeurIPS 2024Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
83. NeurIPS 2024Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
84. NeurIPS 2024Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
85. NeurIPS 2024Learning on Large Graphs using Intersecting Communities
86. NeurIPS 2024Learning Representations for Hierarchies with Minimal Support
87. NeurIPS 2024Linear Uncertainty Quantification of Graphical Model Inference
88. NeurIPS 2024Long-range Meta-path Search on Large-scale Heterogeneous Graphs
89. NeurIPS 2024MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs
90. NeurIPS 2024Mixture of Link Predictors on Graphs
91. NeurIPS 2024MKGL: Mastery of a Three-Word Language
92. NeurIPS 2024Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets
93. NeurIPS 2024Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
94. NeurIPS 2024Non-convolutional graph neural networks.
95. NeurIPS 2024Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
96. NeurIPS 2024On the Scalability of GNNs for Molecular Graphs
97. NeurIPS 2024Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
98. NeurIPS 2024Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
99. NeurIPS 2024Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
100. NeurIPS 2024PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations

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。