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 12 / 35 页
- CVPR 2025Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
- CVPR 2025GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs
- CVPR 2025GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning
- CVPR 2025Incremental Object Keypoint Learning
- CVPR 2025Knowledge Bridger: Towards Training-Free Missing Modality Completion
- CVPR 2025Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning
- CVPR 2025Learning to Filter Outlier Edges in Global SfM
- CVPR 2025LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model
- CVPR 2025MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection
- CVPR 2025MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
- CVPR 2025Notes-guided MLLM Reasoning: Enhancing MLLM with Knowledge and Visual Notes for Visual Question Answering
- CVPR 2025Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces
- CVPR 2025Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
- CVPR 2025Recover and Match: Open-Vocabulary Multi-Label Recognition through Knowledge-Constrained Optimal Transport
- CVPR 2025Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation
- CVPR 2025Robust Message Embedding via Attention Flow-Based Steganography
- CVPR 2025Separation of Powers: On Segregating Knowledge from Observation in LLM-enabled Knowledge-based Visual Question Answering
- CVPR 2025Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding
- CVPR 2025Simplification Is All You Need against Out-of-Distribution Overconfidence
- CVPR 2025Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks
- CVPR 2025Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights
- CVPR 2025U-Know-DiffPAN: An Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpening
- CVPR 2025Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
- CVPR 2025Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing
- CVPR 2025VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
- CVPR 2025VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding
- CVPR 2025What Makes a Good Dataset for Knowledge Distillation?
- ICLR 2025$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
- ICLR 2025$R^2$-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning
- ICLR 2025A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
- ICLR 2025A Large-scale Training Paradigm for Graph Generative Models
- ICLR 2025A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
- ICLR 2025Accelerating Training with Neuron Interaction and Nowcasting Networks
- ICLR 2025Accurate and Scalable Graph Neural Networks via Message Invariance
- ICLR 2025AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
- ICLR 2025Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
- ICLR 2025AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution
- ICLR 2025BANGS: Game-theoretic Node Selection for Graph Self-Training
- ICLR 2025Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?
- ICLR 2025Beyond Random Masking: When Dropout meets Graph Convolutional Networks
- ICLR 2025Biologically Plausible Brain Graph Transformer
- ICLR 2025Bonsai: Gradient-free Graph Condensation for Node Classification
- ICLR 2025BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
- ICLR 2025Bundle Neural Network for message diffusion on graphs
- ICLR 2025Can Knowledge Editing Really Correct Hallucinations?
- ICLR 2025Capability Localization: Capabilities Can be Localized rather than Individual Knowledge
- ICLR 2025Centrality-guided Pre-training for Graph
- ICLR 2025Charting the Design Space of Neural Graph Representations for Subgraph Matching
- ICLR 2025ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
- ICLR 2025Clique Number Estimation via Differentiable Functions of Adjacency Matrix Permutations
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。