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 2 / 2 页

51. ICLR 2023On Representing Linear Programs by Graph Neural Networks
52. ICLR 2023On Representing Mixed-Integer Linear Programs by Graph Neural Networks
53. ICLR 2023Prompting GPT-3 To Be Reliable
54. ICLR 2023Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning
55. ICLR 2023Relational Attention: Generalizing Transformers for Graph-Structured Tasks
56. ICLR 2023Rethinking the Expressive Power of GNNs via Graph Biconnectivity
57. ICLR 2023Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective
58. ICLR 2023Revisiting Robustness in Graph Machine Learning
59. ICLR 2023Robust Active Distillation
60. ICLR 2023Robust Graph Dictionary Learning
61. ICLR 2023ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
62. ICLR 2023Scaffolding a Student to Instill Knowledge
63. ICLR 2023Sign and Basis Invariant Networks for Spectral Graph Representation Learning
64. ICLR 2023simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
65. ICLR 2023Spacetime Representation Learning
66. ICLR 2023Specformer: Spectral Graph Neural Networks Meet Transformers
67. ICLR 2023Spectral Augmentation for Self-Supervised Learning on Graphs
68. ICLR 2023Subsampling in Large Graphs Using Ricci Curvature
69. ICLR 2023Supervision Complexity and its Role in Knowledge Distillation
70. ICLR 2023Teacher Guided Training: An Efficient Framework for Knowledge Transfer
71. ICLR 2023The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
72. ICLR 2023The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
73. ICLR 2023TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
74. ICLR 2023Towards Open Temporal Graph Neural Networks
75. ICLR 2023Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
76. ICLR 2023UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
77. ICLR 2023Unveiling the sampling density in non-uniform geometric graphs
78. ICLR 2023Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection

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。