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 76 篇，第 2 / 2 页

51. NeurIPS 2023On Learning Necessary and Sufficient Causal Graphs
52. NeurIPS 2023One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
53. NeurIPS 2023Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
54. NeurIPS 2023Optimality of Message-Passing Architectures for Sparse Graphs
55. NeurIPS 2023PlanE: Representation Learning over Planar Graphs
56. NeurIPS 2023Practical Contextual Bandits with Feedback Graphs
57. NeurIPS 2023PRODIGY: Enabling In-context Learning Over Graphs
58. NeurIPS 2023Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
59. NeurIPS 2023RECKONING: Reasoning through Dynamic Knowledge Encoding
60. NeurIPS 2023SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
61. NeurIPS 2023Statistical Knowledge Assessment for Large Language Models
62. NeurIPS 2023Temporal Graph Benchmark for Machine Learning on Temporal Graphs
63. NeurIPS 2023TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph
64. NeurIPS 2023The expressive power of pooling in Graph Neural Networks
65. NeurIPS 2023The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models
66. NeurIPS 2023Thrust: Adaptively Propels Large Language Models with External Knowledge
67. NeurIPS 2023Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation
68. NeurIPS 2023TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
69. NeurIPS 2023Transformers over Directed Acyclic Graphs
70. NeurIPS 2023TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion
71. NeurIPS 2023Uncovering Meanings of Embeddings via Partial Orthogonality
72. NeurIPS 2023UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction
73. NeurIPS 2023Variational Annealing on Graphs for Combinatorial Optimization
74. NeurIPS 2023Video-Mined Task Graphs for Keystep Recognition in Instructional Videos
75. NeurIPS 2023What Knowledge Gets Distilled in Knowledge Distillation?
76. NeurIPS 2023XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information

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。