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 149 篇,第 1 / 3 页
- ICML 2026$G^2$-Reader: Dual Evolving Graphs for Multimodal Document QA
- ICML 2026A Graph Foundation Model with Cross-Modal Alignment and Modality-Aware Expert Fusion for Multi-Modal Graphs
- ICML 2026A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation
- ICML 2026A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
- ICML 2026A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions
- ICML 2026A Unifying Relational Perspective on Expressive Lottery Tickets
- ICML 2026Adapting to Evolving Graphs: A Scalable Framework for Dynamic Coarsening
- ICML 2026Adaptive Memory Retention in Dynamic Graphs
- ICML 2026Adaptive Recurrent Message Passing for Test Time Computing on Graphs
- ICML 2026An Approximation Algorithm for Graph Label Selection
- ICML 2026Anchor-guided Hypergraph Condensation with Dual-level Discrimination
- ICML 2026Any-dimensional invariant universality
- ICML 2026AnyEdit++: Adaptive Long-Form Knowledge Editing via Bayesian Surprise
- ICML 2026Backjump-on-Graph: Empowering Large Language Models with Reinforced Retrospective Exploration for Agentic Knowledge Graph Reasoning
- ICML 2026Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs
- ICML 2026Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs
- ICML 2026Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting
- ICML 2026Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
- ICML 2026BlitzRank: Principled Zero-shot Ranking Agents with Tournament Graphs
- ICML 2026Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement
- ICML 2026Breaking the Scale Barrier: One-Shot Knowledge Transfer via Frequency Transform
- ICML 2026Bridging Structure and Semantics: Uncertainty-Modulated Dual-Path Diffusion for Robust Text-Attributed Graph Learning
- ICML 2026Calibrated Knowledge Aggregation in Bayesian Mixture-of-Experts for Continual VQA
- ICML 2026CausalRAG2: Hierarchical Causal Knowledge Graph Design for RAG
- ICML 2026CL-GCL: Comprehensive and Lightweight Graph Contrastive Learning
- ICML 2026Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning
- ICML 2026Collapsed Effective Operators for Higher-order Structures
- ICML 2026Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration
- ICML 2026Continual Model Routing in Evolving Model Hubs
- ICML 2026Cross-Modal Knowledge Distillation without Paired Data: Theoretical Foundation and Algorithm
- ICML 2026DANCE: Dynamic, Available, Neighbor-gated Condensation for Federated Text-Attributed Graphs
- ICML 2026Deep neural networks divide and conquer dihedral multiplication
- ICML 2026Discrete Survival Knowledge Distillation for Competing Risks Analysis
- ICML 2026Discriminative Mixture-of-Experts on Graphs with Reliable Expert Fusion
- ICML 2026Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models
- ICML 2026Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning
- ICML 2026DNA: Uncovering Universal Latent Forgery Knowledge
- ICML 2026DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
- ICML 2026Dynamics Reveals Structure: Challenging the Linear Propagation Assumption
- ICML 2026EmBrace: A Collective Knowledge Fusion Framework Toward Unified EEG Foundation Models
- ICML 2026Entropy-aware Span-Constrained Optimal Transport for Robust Cross-Tokenizer Knowledge Distillation
- ICML 2026ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs
- ICML 2026Expressive Graph Neural Networks via Equivariant Use of Noise
- ICML 2026Faithful Relational Reasoning with Region-based Embeddings: Expressivity of Convex Coordinate-wise Models
- ICML 2026Fast Estimation for Forest Matrix of Signed Graphs
- ICML 2026Fast Mixture of Curvature-Aware Experts for Diverse and Dynamic Graph Topologies
- ICML 2026Finding the Minimal Parameter Budget for Implicit Reasoning: A Data Complexity Driven Scaling Law for Language Models
- ICML 2026Fix the Mind, Not the Move: Interpretable AI Assistance via Knowledge-Gap Localization
- ICML 2026FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space
- ICML 2026FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment
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。