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 61 篇,第 1 / 2 页
- CVPR 20233D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud
- CVPR 2023A Unified Knowledge Distillation Framework for Deep Directed Graphical Models
- CVPR 2023A-Cap: Anticipation Captioning With Commonsense Knowledge
- CVPR 2023Advancing Visual Grounding With Scene Knowledge: Benchmark and Method
- CVPR 2023AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
- CVPR 2023BASiS: Batch Aligned Spectral Embedding Space
- CVPR 2023CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection
- CVPR 2023Class Attention Transfer Based Knowledge Distillation
- CVPR 2023Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching
- CVPR 2023Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation
- CVPR 2023DaFKD: Domain-Aware Federated Knowledge Distillation
- CVPR 2023Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint
- CVPR 2023Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning
- CVPR 2023Deep Graph Reprogramming
- CVPR 2023Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection
- CVPR 2023DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning
- CVPR 2023EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets
- CVPR 2023ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer
- CVPR 2023FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs
- CVPR 2023From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm
- CVPR 2023Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
- CVPR 2023HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models
- CVPR 2023HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
- CVPR 2023Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding
- CVPR 2023Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles
- CVPR 2023Incremental 3D Semantic Scene Graph Prediction From RGB Sequences
- CVPR 2023Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class
- CVPR 2023itKD: Interchange Transfer-Based Knowledge Distillation for 3D Object Detection
- CVPR 2023KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation
- CVPR 2023KiUT: Knowledge-Injected U-Transformer for Radiology Report Generation
- CVPR 2023Knowledge Combination To Learn Rotated Detection Without Rotated Annotation
- CVPR 2023Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions
- CVPR 2023Learning and Aggregating Lane Graphs for Urban Automated Driving
- CVPR 2023Learning Customized Visual Models With Retrieval-Augmented Knowledge
- CVPR 2023Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
- CVPR 2023Learning Situation Hyper-Graphs for Video Question Answering
- CVPR 2023Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization
- CVPR 2023Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
- CVPR 2023Learning Transferable Spatiotemporal Representations From Natural Script Knowledge
- CVPR 2023Local 3D Editing via 3D Distillation of CLIP Knowledge
- CVPR 2023Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation
- CVPR 2023Masked Autoencoders Enable Efficient Knowledge Distillers
- CVPR 2023MEDIC: Remove Model Backdoors via Importance Driven Cloning
- CVPR 2023Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph
- CVPR 2023Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning
- CVPR 2023Partial Network Cloning
- CVPR 2023Probabilistic Debiasing of Scene Graphs
- CVPR 2023Probabilistic Knowledge Distillation of Face Ensembles
- CVPR 2023Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering
- CVPR 2023Rethinking Feature-Based Knowledge Distillation for Face Recognition
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。