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 1,715 篇，第 34 / 35 页

  1. NeurIPS 2023Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
  2. NeurIPS 2023Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
  3. NeurIPS 2023Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
  4. NeurIPS 2023Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs
  5. NeurIPS 2023Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
  6. NeurIPS 2023Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
  7. NeurIPS 2023Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
  8. NeurIPS 2023Evaluating Self-Supervised Learning for Molecular Graph Embeddings
  9. NeurIPS 2023Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing
  10. NeurIPS 2023Expressivity-Preserving GNN Simulation
  11. NeurIPS 2023Fast Approximation of Similarity Graphs with Kernel Density Estimation
  12. NeurIPS 2023Fine-grained Expressivity of Graph Neural Networks
  13. NeurIPS 2023Fitting trees to $\ell_1$-hyperbolic distances
  14. NeurIPS 2023Fragment-based Pretraining and Finetuning on Molecular Graphs
  15. NeurIPS 2023From Trainable Negative Depth to Edge Heterophily in Graphs
  16. NeurIPS 2023Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
  17. NeurIPS 2023Geometric Analysis of Matrix Sensing over Graphs
  18. NeurIPS 2023GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
  19. NeurIPS 2023Grounding Neural Inference with Satisfiability Modulo Theories
  20. NeurIPS 2023HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding
  21. NeurIPS 2023How to Turn Your Knowledge Graph Embeddings into Generative Models
  22. NeurIPS 2023Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network
  23. NeurIPS 2023Improving the Knowledge Gradient Algorithm
  24. NeurIPS 2023Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy
  25. NeurIPS 2023KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
  26. NeurIPS 2023Kernelized Cumulants: Beyond Kernel Mean Embeddings
  27. NeurIPS 2023Knowledge Diffusion for Distillation
  28. NeurIPS 2023Knowledge Distillation for High Dimensional Search Index
  29. NeurIPS 2023Knowledge Distillation Performs Partial Variance Reduction
  30. NeurIPS 2023Latent Field Discovery in Interacting Dynamical Systems with Neural Fields
  31. NeurIPS 2023LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings
  32. NeurIPS 2023Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion
  33. NeurIPS 2023Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
  34. NeurIPS 2023Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition
  35. NeurIPS 2023LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
  36. NeurIPS 2023Limits, approximation and size transferability for GNNs on sparse graphs via graphops
  37. NeurIPS 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT
  38. NeurIPS 2023NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
  39. NeurIPS 2023On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
  40. NeurIPS 2023On Learning Necessary and Sufficient Causal Graphs
  41. NeurIPS 2023One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
  42. NeurIPS 2023Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
  43. NeurIPS 2023Optimality of Message-Passing Architectures for Sparse Graphs
  44. NeurIPS 2023PlanE: Representation Learning over Planar Graphs
  45. NeurIPS 2023Practical Contextual Bandits with Feedback Graphs
  46. NeurIPS 2023PRODIGY: Enabling In-context Learning Over Graphs
  47. NeurIPS 2023Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
  48. NeurIPS 2023RECKONING: Reasoning through Dynamic Knowledge Encoding
  49. NeurIPS 2023SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
  50. NeurIPS 2023Statistical Knowledge Assessment for Large Language Models

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。

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