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 466 篇，第 5 / 10 页
- ICLR 2025Towards Automated Knowledge Integration From Human-Interpretable Representations
- ICLR 2025Towards Bridging Generalization and Expressivity of Graph Neural Networks
- ICLR 2025Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
- ICLR 2025Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming
- ICLR 2025Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians
- ICLR 2025Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
- ICLR 2025Training-Free Message Passing for Learning on Hypergraphs
- ICLR 2025Uncovering Overfitting in Large Language Model Editing
- ICLR 2025Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
- ICLR 2025Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
- ICLR 2025Valid Conformal Prediction for Dynamic GNNs
- ICLR 2025What Are Good Positional Encodings for Directed Graphs?
- ICLR 2025When Graph Neural Networks Meet Dynamic Mode Decomposition
- ICML 2025A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
- ICML 2025A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features
- ICML 2025A Selective Learning Method for Temporal Graph Continual Learning
- ICML 2025ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence
- ICML 2025Adaptive Localization of Knowledge Negation for Continual LLM Unlearning
- ICML 2025Algorithms and Hardness for Active Learning on Graphs
- ICML 2025An Improved Clique-Picking Algorithm for Counting Markov Equivalent DAGs via Super Cliques Transfer
- ICML 2025AnyEdit: Edit Any Knowledge Encoded in Language Models
- ICML 2025Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
- ICML 2025Beyond Message Passing: Neural Graph Pattern Machine
- ICML 2025Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
- ICML 2025Bridging Layout and RTL: Knowledge Distillation based Timing Prediction
- ICML 2025CoDy: Counterfactual Explainers for Dynamic Graphs
- ICML 2025Commute Graph Neural Networks
- ICML 2025Componential Prompt-Knowledge Alignment for Domain Incremental Learning
- ICML 2025Core Knowledge Deficits in Multi-Modal Language Models
- ICML 2025Cross-City Latent Space Alignment for Consistency Region Embedding
- ICML 2025CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs
- ICML 2025De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs
- ICML 2025Directed Graph Grammars for Sequence-based Learning
- ICML 2025Discovering Latent Causal Graphs from Spatiotemporal Data
- ICML 2025Distilling the Knowledge in Data Pruning
- ICML 2025Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis
- ICML 2025Dynamic Similarity Graph Construction with Kernel Density Estimation
- ICML 2025Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
- ICML 2025Enhancing Foundation Models with Federated Domain Knowledge Infusion
- ICML 2025Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance
- ICML 2025Enhancing Logits Distillation with Plug&Play Kendall's $\tau$ Ranking Loss
- ICML 2025From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning
- ICML 2025From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers
- ICML 2025Fully Dynamic Embedding into $\ell_p$ Spaces
- ICML 2025GCAL: Adapting Graph Models to Evolving Domain Shifts
- ICML 2025Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models
- ICML 2025GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention
- ICML 2025Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
- ICML 2025Graph Minimum Factor Distance and Its Application to Large-Scale Graph Data Clustering
- ICML 2025Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
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。