Knowledge Graphs papers, 2023–2026

Key findings

• Knowledge Graphs went from 287 papers in 2023 to 536 in 2026, roughly 1.9x in three years.
• ICLR publishes the most Knowledge Graphs work: 571 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 17 in 2023 to 93 in 2026.
• Among the 5 topics under Graph and Structured Data, it ranks #2 by 2026 paper count; the fastest grower in the group, Time Series, is up 3.2x versus 1.9x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Knowledge Graphs papers

516 papers, page 5 of 11

201. NeurIPS 2025Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning
202. NeurIPS 2025K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling
203. NeurIPS 2025KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
204. NeurIPS 2025KGGen: Extracting Knowledge Graphs from Plain Text with Language Models
205. NeurIPS 2025KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
206. NeurIPS 2025Knowledge Distillation of Uncertainty using Deep Latent Factor Model
207. NeurIPS 2025Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
208. NeurIPS 2025KScope: A Framework for Characterizing the Knowledge Status of Language Models
209. NeurIPS 2025LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
210. NeurIPS 2025Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics
211. NeurIPS 2025Learning Task-Agnostic Representations through Multi-Teacher Distillation
212. NeurIPS 2025Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning
213. NeurIPS 2025Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs
214. NeurIPS 2025Localizing Knowledge in Diffusion Transformers
215. NeurIPS 2025Low-degree evidence for computational transition of recovery rate in stochastic block model
216. NeurIPS 2025MemEIC: A Step Toward Continual and Compositional Knowledge Editing
217. NeurIPS 2025Memorization in Graph Neural Networks
218. NeurIPS 2025Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging
219. NeurIPS 2025Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go
220. NeurIPS 2025MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes
221. NeurIPS 2025ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs
222. NeurIPS 2025MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
223. NeurIPS 2025MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation
224. NeurIPS 2025Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
225. NeurIPS 2025Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
226. NeurIPS 2025Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
227. NeurIPS 2025Neural Tangent Knowledge Distillation for Optical Convolutional Networks
228. NeurIPS 2025NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval
229. NeurIPS 2025NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference
230. NeurIPS 2025OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration
231. NeurIPS 2025On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
232. NeurIPS 2025On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
233. NeurIPS 2025On the Universal Near Optimality of Hedge in Combinatorial Settings
234. NeurIPS 2025One for All: Universal Topological Primitive Transfer for Graph Structure Learning
235. NeurIPS 2025Optimal community detection in dense bipartite graphs
236. NeurIPS 2025OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation
237. NeurIPS 2025Pattern-Guided Adaptive Prior for Structure Learning
238. NeurIPS 2025Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
239. NeurIPS 2025PLD: A Choice-Theoretic List-Wise Knowledge Distillation
240. NeurIPS 2025pLSTM: parallelizable Linear Source Transition Mark networks
241. NeurIPS 2025Preference-driven Knowledge Distillation for Few-shot Node Classification
242. NeurIPS 2025PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
243. NeurIPS 2025Probing Hidden Knowledge Holes in Unlearned LLMs
244. NeurIPS 2025ProDAG: Projected Variational Inference for Directed Acyclic Graphs
245. NeurIPS 2025Pseudo-Riemannian Graph Transformer
246. NeurIPS 2025Quantifying Elicitation of Latent Capabilities in Language Models
247. NeurIPS 2025RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
248. NeurIPS 2025ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG
249. NeurIPS 2025Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification
250. NeurIPS 2025Rethinking Residual Distribution in Locate-then-Edit Model Editing

FAQ

How many Knowledge Graphs papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,715 in total: 287 in 2023, 426 in 2024, 466 in 2025, 536 in 2026.

How many Knowledge Graphs papers are at NeurIPS 2026?

NeurIPS 2026 has 133 Knowledge Graphs papers, versus 154 the year before.

How many Knowledge Graphs papers are at ICLR 2026?

ICLR 2026 has 201 Knowledge Graphs papers, versus 172 the year before.

How many Knowledge Graphs papers are at ICML 2026?

ICML 2026 has 149 Knowledge Graphs papers, versus 99 the year before.

How many Knowledge Graphs papers are at CVPR 2026?

CVPR 2026 has 53 Knowledge Graphs papers, versus 41 the year before.

Which conference publishes the most Knowledge Graphs papers?

ICLR, with 571 papers from 2023 to 2026.