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 571 篇,第 6 / 12 页
- ICLR 2025GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
- ICLR 2025GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks
- ICLR 2025GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning
- ICLR 2025Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach
- ICLR 2025Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
- ICLR 2025Graph Neural Networks Can (Often) Count Substructures
- ICLR 2025Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
- ICLR 2025Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective
- ICLR 2025Graph Sparsification via Mixture of Graphs
- ICLR 2025Graph Transformers Dream of Electric Flow
- ICLR 2025GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
- ICLR 2025GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation
- ICLR 2025GraphRouter: A Graph-based Router for LLM Selections
- ICLR 2025Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
- ICLR 2025Grounding Continuous Representations in Geometry: Equivariant Neural Fields
- ICLR 2025Gyrogroup Batch Normalization
- ICLR 2025HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
- ICLR 2025Higher-Order Graphon Neural Networks: Approximation and Cut Distance
- ICLR 2025Homomorphism Counts as Structural Encodings for Graph Learning
- ICLR 2025Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
- ICLR 2025How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
- ICLR 2025Improving Equivariant Networks with Probabilistic Symmetry Breaking
- ICLR 2025Improving Graph Neural Networks by Learning Continuous Edge Directions
- ICLR 2025Improving Neural Network Accuracy by Concurrently Training with a Twin Network
- ICLR 2025In-Context Editing: Learning Knowledge from Self-Induced Distributions
- ICLR 2025INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
- ICLR 2025INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph
- ICLR 2025Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs
- ICLR 2025Joint Graph Rewiring and Feature Denoising via Spectral Resonance
- ICLR 2025KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
- ICLR 2025KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
- ICLR 2025KBLaM: Knowledge Base augmented Language Model
- ICLR 2025KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
- ICLR 2025Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition
- ICLR 2025Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models
- ICLR 2025Knowledge Localization: Mission Not Accomplished? Enter Query Localization!
- ICLR 2025KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks
- ICLR 2025Large Scale Knowledge Washing
- ICLR 2025LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
- ICLR 2025Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
- ICLR 2025Learning Efficient Positional Encodings with Graph Neural Networks
- ICLR 2025Learning Graph Invariance by Harnessing Spuriosity
- ICLR 2025Learning Graph Quantized Tokenizers
- ICLR 2025Learning Long Range Dependencies on Graphs via Random Walks
- ICLR 2025Learning Partial Graph Matching via Optimal Partial Transport
- ICLR 2025Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
- ICLR 2025Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting
- ICLR 2025Linear Transformer Topological Masking with Graph Random Features
- ICLR 2025LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases
- ICLR 2025Logical Consistency of Large Language Models in Fact-Checking
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。