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 426 篇，第 3 / 9 页

101. ICLR 2024Knowledge Fusion of Large Language Models
102. ICLR 2024KoLA: Carefully Benchmarking World Knowledge of Large Language Models
103. ICLR 2024KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
104. ICLR 2024Label-free Node Classification on Graphs with Large Language Models (LLMs)
105. ICLR 2024Latent 3D Graph Diffusion
106. ICLR 2024Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
107. ICLR 2024Learning From Simplicial Data Based on Random Walks and 1D Convolutions
108. ICLR 2024Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
109. ICLR 2024Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
110. ICLR 2024Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
111. ICLR 2024LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
112. ICLR 2024Local Graph Clustering with Noisy Labels
113. ICLR 2024Locality-Aware Graph Rewiring in GNNs
114. ICLR 2024Manifold Diffusion Fields
115. ICLR 2024MiniLLM: Knowledge Distillation of Large Language Models
116. ICLR 2024Mirage: Model-agnostic Graph Distillation for Graph Classification
117. ICLR 2024Mitigating Emergent Robustness Degradation while Scaling Graph Learning
118. ICLR 2024Mixture of Weak and Strong Experts on Graphs
119. ICLR 2024MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy
120. ICLR 2024NetInfoF Framework: Measuring and Exploiting Network Usable Information
121. ICLR 2024Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
122. ICLR 2024Neural Common Neighbor with Completion for Link Prediction
123. ICLR 2024Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
124. ICLR 2024On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods
125. ICLR 2024On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
126. ICLR 2024On the Stability of Expressive Positional Encodings for Graphs
127. ICLR 2024One For All: Towards Training One Graph Model For All Classification Tasks
128. ICLR 2024Orbit-Equivariant Graph Neural Networks
129. ICLR 2024PAE: Reinforcement Learning from External Knowledge for Efficient Exploration
130. ICLR 2024Partitioning Message Passing for Graph Fraud Detection
131. ICLR 2024Predictive, scalable and interpretable knowledge tracing on structured domains
132. ICLR 2024PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
133. ICLR 2024Probabilistically Rewired Message-Passing Neural Networks
134. ICLR 2024Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
135. ICLR 2024Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
136. ICLR 2024Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
137. ICLR 2024Repelling Random Walks
138. ICLR 2024Rethinking and Extending the Probabilistic Inference Capacity of GNNs
139. ICLR 2024Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
140. ICLR 2024Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
141. ICLR 2024Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
142. ICLR 2024Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
143. ICLR 2024Revisiting Link Prediction: a data perspective
144. ICLR 2024Robust Angular Synchronization via Directed Graph Neural Networks
145. ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
146. ICLR 2024Scalable and Effective Implicit Graph Neural Networks on Large Graphs
147. ICLR 2024Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
148. ICLR 2024SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
149. ICLR 2024Simplicial Representation Learning with Neural $k$-Forms
150. ICLR 2024Structural Fairness-aware Active Learning for Graph Neural Networks

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。