知识图谱论文趋势 2023–2026
图谱嵌入与推理
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,715 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 76 | 78 | 72 | 61 | 287 |
| 2024 | 153 | 120 | 103 | 50 | 426 |
| 2025 | 154 | 172 | 99 | 41 | 466 |
| 2026 | 133 | 201 | 149 | 53 | 536 |
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 1,715 篇，第 25 / 35 页
- ICML 2024Exploring Correlations of Self-Supervised Tasks for Graphs
- ICML 2024Faster Streaming and Scalable Algorithms for Finding Directed Dense Subgraphs in Large Graphs
- ICML 2024Federated Continual Learning via Prompt-based Dual Knowledge Transfer
- ICML 2024FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion
- ICML 2024From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
- ICML 2024Gaussian Processes on Cellular Complexes
- ICML 2024Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
- ICML 2024Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
- ICML 2024GPTSwarm: Language Agents as Optimizable Graphs
- ICML 2024Graph As Point Set
- ICML 2024Graph Automorphism Group Equivariant Neural Networks
- ICML 2024Graph Mixup on Approximate Gromov–Wasserstein Geodesics
- ICML 2024Graph Neural Network Explanations are Fragile
- ICML 2024Graph Neural Networks Use Graphs When They Shouldn't
- ICML 2024Graph Neural Networks with a Distribution of Parametrized Graphs
- ICML 2024Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
- ICML 2024Graph-Triggered Rising Bandits
- ICML 2024How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
- ICML 2024Hypergraph-enhanced Dual Semi-supervised Graph Classification
- ICML 2024Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning
- ICML 2024Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach
- ICML 2024Incorporating probabilistic domain knowledge into deep multiple instance learning
- ICML 2024Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
- ICML 2024KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
- ICML 2024Knowledge Distillation with Auxiliary Variable
- ICML 2024Knowledge Graphs Can be Learned with Just Intersection Features
- ICML 2024Knowledge-aware Reinforced Language Models for Protein Directed Evolution
- ICML 2024Layerwise Change of Knowledge in Neural Networks
- ICML 2024Learning in Deep Factor Graphs with Gaussian Belief Propagation
- ICML 2024Learning Modality Knowledge Alignment for Cross-Modality Transfer
- ICML 2024Learning to Explore in POMDPs with Informational Rewards
- ICML 2024Less is More: on the Over-Globalizing Problem in Graph Transformers
- ICML 2024LLaGA: Large Language and Graph Assistant
- ICML 2024Long Range Propagation on Continuous-Time Dynamic Graphs
- ICML 2024MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
- ICML 2024Mitigating Label Noise on Graphs via Topological Sample Selection
- ICML 2024Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
- ICML 2024Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
- ICML 2024Neighboring Perturbations of Knowledge Editing on Large Language Models
- ICML 2024Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks
- ICML 2024Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
- ICML 2024OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
- ICML 2024On dimensionality of feature vectors in MPNNs
- ICML 2024On the Expressive Power of Spectral Invariant Graph Neural Networks
- ICML 2024On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors
- ICML 2024Optimal Batched Linear Bandits
- ICML 2024PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
- ICML 2024PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
- ICML 2024Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
- ICML 2024PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查知识图谱在 ICLR 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "knowledge-graphs"}
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。