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

每年论文数

各会议论文数

按年份和会议统计

知识图谱论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202376787261287
202415312010350426
20251541729941466
202613320114953536

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

全部知识图谱论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 287 篇，第 5 / 6 页

  1. ICML 2023Taming graph kernels with random features
  2. ICML 2023TIDE: Time Derivative Diffusion for Deep Learning on Graphs
  3. ICML 2023Tight and fast generalization error bound of graph embedding in metric space
  4. ICML 2023Total Variation Graph Neural Networks
  5. ICML 2023Towards Robust Graph Incremental Learning on Evolving Graphs
  6. ICML 2023Towards Understanding and Reducing Graph Structural Noise for GNNs
  7. ICML 2023Transformers Meet Directed Graphs
  8. ICML 2023Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees
  9. ICML 2023What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings
  10. ICML 2023Who Needs to Know? Minimal Knowledge for Optimal Coordination
  11. ICML 2023WL meet VC
  12. NeurIPS 2023A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking
  13. NeurIPS 2023A Fractional Graph Laplacian Approach to Oversmoothing
  14. NeurIPS 2023A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
  15. NeurIPS 2023A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
  16. NeurIPS 2023Accelerating Molecular Graph Neural Networks via Knowledge Distillation
  17. NeurIPS 2023Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
  18. NeurIPS 2023Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
  19. NeurIPS 2023Bayesian Optimisation of Functions on Graphs
  20. NeurIPS 2023Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
  21. NeurIPS 2023Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs
  22. NeurIPS 2023Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond
  23. NeurIPS 2023Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
  24. NeurIPS 2023Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
  25. NeurIPS 2023Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
  26. NeurIPS 2023Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs
  27. NeurIPS 2023Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
  28. NeurIPS 2023Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
  29. NeurIPS 2023Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
  30. NeurIPS 2023Evaluating Self-Supervised Learning for Molecular Graph Embeddings
  31. NeurIPS 2023Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing
  32. NeurIPS 2023Expressivity-Preserving GNN Simulation
  33. NeurIPS 2023Fast Approximation of Similarity Graphs with Kernel Density Estimation
  34. NeurIPS 2023Fine-grained Expressivity of Graph Neural Networks
  35. NeurIPS 2023Fitting trees to $\ell_1$-hyperbolic distances
  36. NeurIPS 2023Fragment-based Pretraining and Finetuning on Molecular Graphs
  37. NeurIPS 2023From Trainable Negative Depth to Edge Heterophily in Graphs
  38. NeurIPS 2023Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
  39. NeurIPS 2023Geometric Analysis of Matrix Sensing over Graphs
  40. NeurIPS 2023GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
  41. NeurIPS 2023Grounding Neural Inference with Satisfiability Modulo Theories
  42. NeurIPS 2023HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding
  43. NeurIPS 2023How to Turn Your Knowledge Graph Embeddings into Generative Models
  44. NeurIPS 2023Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network
  45. NeurIPS 2023Improving the Knowledge Gradient Algorithm
  46. NeurIPS 2023Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy
  47. NeurIPS 2023KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
  48. NeurIPS 2023Kernelized Cumulants: Beyond Kernel Mean Embeddings
  49. NeurIPS 2023Knowledge Diffusion for Distillation
  50. NeurIPS 2023Knowledge Distillation for High Dimensional Search Index

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

「图与结构化数据」下的其他主题