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 153 篇,第 1 / 4 页
- NeurIPS 2024$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
- NeurIPS 2024$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs
- NeurIPS 2024A Foundation Model for Zero-shot Logical Query Reasoning
- NeurIPS 2024A hierarchical decomposition for explaining ML performance discrepancies
- NeurIPS 2024A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
- NeurIPS 2024A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
- NeurIPS 2024A Structure-Aware Framework for Learning Device Placements on Computation Graphs
- NeurIPS 2024Achieving Domain-Independent Certified Robustness via Knowledge Continuity
- NeurIPS 2024Adversarial Moment-Matching Distillation of Large Language Models
- NeurIPS 2024Almost Surely Asymptotically Constant Graph Neural Networks
- NeurIPS 2024AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
- NeurIPS 2024Bayesian Optimization of Functions over Node Subsets in Graphs
- NeurIPS 2024Benchmarking Structural Inference Methods for Interacting Dynamical Systems with Synthetic Data
- NeurIPS 2024BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
- NeurIPS 2024Boosting Graph Pooling with Persistent Homology
- NeurIPS 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
- NeurIPS 2024Challenges of Generating Structurally Diverse Graphs
- NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
- NeurIPS 2024Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
- NeurIPS 2024Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding
- NeurIPS 2024Co-occurrence is not Factual Association in Language Models
- NeurIPS 2024Compact Language Models via Pruning and Knowledge Distillation
- NeurIPS 2024ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
- NeurIPS 2024Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
- NeurIPS 2024Continuous Product Graph Neural Networks
- NeurIPS 2024Cost-efficient Knowledge-based Question Answering with Large Language Models
- NeurIPS 2024CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search
- NeurIPS 2024DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
- NeurIPS 2024DDK: Distilling Domain Knowledge for Efficient Large Language Models
- NeurIPS 2024Decoupled Kullback-Leibler Divergence Loss
- NeurIPS 2024DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach
- NeurIPS 2024Deep Graph Mating
- NeurIPS 2024Deep Homomorphism Networks
- NeurIPS 2024Deep Submodular Peripteral Networks
- NeurIPS 2024DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
- NeurIPS 2024Dissecting the Failure of Invariant Learning on Graphs
- NeurIPS 2024DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
- NeurIPS 2024Efficient Graph Matching for Correlated Stochastic Block Models
- NeurIPS 2024Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors
- NeurIPS 2024Embedding-Aligned Language Models
- NeurIPS 2024Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
- NeurIPS 2024End-to-End Ontology Learning with Large Language Models
- NeurIPS 2024Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
- NeurIPS 2024Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
- NeurIPS 2024Even Sparser Graph Transformers
- NeurIPS 2024Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks
- NeurIPS 2024Exponential Quantum Communication Advantage in Distributed Inference and Learning
- NeurIPS 2024EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking
- NeurIPS 2024FairWire: Fair Graph Generation
- NeurIPS 2024Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers
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。