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 149 篇，第 2 / 3 页

51. ICML 2026From Flat Facts to Sharp Hallucinations: Detecting Stubborn Errors via Gradient Sensitivity
52. ICML 2026From Knowledge to Inference: Formalizing Specialized Public Health Reasoning on GlobalHealthAtlas
53. ICML 2026Fully Dynamic Coreset Spectral Clustering
54. ICML 2026Generalist Graph Anomaly Detection via Prototype-Based Distillation
55. ICML 2026Generalized Schrödinger Bridge on Graphs
56. ICML 2026Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion
57. ICML 2026Geometry-Guided Generative Representation for Functional Brain Graphs
58. ICML 2026GFedCL: Graph-Based Federated Continual Learning with Spatial and Temporal Awareness
59. ICML 2026GKD-Recruiter: Jointly Modeling Social and Task Heterogeneity for Spatial Crowdsourcing via Graph Knowledge Distillation
60. ICML 2026GOCM: Single-Step Graph Outlier Synthesis via Origin Consistency Model
61. ICML 2026Gradient Transformer: Learning to Generate Updates for LLMs
62. ICML 2026Graph Neural Networks Are Not Continuous Across Graph Resolutions
63. ICML 2026GRASP: Graph Reasoning via Agentic Solving and Probing of LLMs
64. ICML 2026Group-wise Data Ordering: Enhancing Instruction Tuning of Large Language Models via Embedding Proximity
65. ICML 2026Heterogeneity-Aware Knowledge Sharing for Graph Federated Learning
66. ICML 2026Hierarchical Causal Abduction: A Foundation Framework for Explainable Model Predictive Control
67. ICML 2026HieRD: Hierarchical Relational Distillation for Vision-Language Embedding Models
68. ICML 2026Homophily-Heterogeneity Gradient Surgery for Federated Graph Learning
69. ICML 2026How can embedding models bind concepts?
70. ICML 2026HVAE: Hyperbolic Variational Autoencoder For Flexible Knowledge Transfer Across Multiple Domains
71. ICML 2026INDUCTION: Finite-Structure Concept Synthesis in First-Order Logic
72. ICML 2026Intra-Modal Neighbors Never Lie: Rectifying Inter-Modal Noisy Correspondence via Graph-Based Intra-Modal Reasoning
73. ICML 2026InvGNN: Learning Invertible Node Representations on Graphs
74. ICML 2026KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables
75. ICML 2026Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
76. ICML 2026L2G-NET: Local to Global Spectral Graph Neural Networks via Cauchy Factorizations
77. ICML 2026Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge
78. ICML 2026Large Language Models as Topological Thinkers: A Benchmark on Graph Persistent Homology
79. ICML 2026Learn from A Rationalist: Distilling Intermediate Interpretable Rationales
80. ICML 2026Learnability-Driven Knowledge Assimilation for Class-Incremental Semantic Segmentation
81. ICML 2026Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
82. ICML 2026Learning Graph Foundation Models on Riemannian Graph-of-Graphs
83. ICML 2026Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models
84. ICML 2026Learning Protein Structure-Function Relationships through Knowledge-guided Representation Decomposition
85. ICML 2026LECTOR: Joint Learning of Scientific Reasoning Graphs and Introduction Generation
86. ICML 2026LEGO: An LLM-Enabled Hierarchical Optimizer for Tensor Computation Graphs with Structure-Aware Search and Compositional Synthesis
87. ICML 2026LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification
88. ICML 2026Lightweight and Interpretable Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast
89. ICML 2026LLM-MatLogic: Executable Exchange Contracts for Knowledge-Graph Query Answering with Scoped Negation
90. ICML 2026Memory as a Markov Matrix: Sample Efficient Knowledge Expansion via Token-to-Dictionary Mapping
91. ICML 2026MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
92. ICML 2026Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
93. ICML 2026More Sail than Ballast: Addressing Harmful Knowledge Leakage in the Expansive Reasoning Space of LRMs
94. ICML 2026MoshiRAG: Asynchronous Knowledge Retrieval for Full-Duplex Speech Language Models
95. ICML 2026MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
96. ICML 2026Neural Dispersion on Graphs
97. ICML 2026Neural Feature Geometry Evolves as Discrete Ricci Flow
98. ICML 2026On Efficient Scaling of GNNs via IO-Aware Layers Implementations
99. ICML 2026On the Origin of Neural Scaling Laws: from Random Graphs to Natural Language
100. ICML 2026On the Spectral Unreachability of Brain Graph Learning

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。