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 6 of 11

251. NeurIPS 2025Root Cause Analysis of Outliers with Missing Structural Knowledge
252. NeurIPS 2025RvLLM: LLM Runtime Verification with Domain Knowledge
253. NeurIPS 2025SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater
254. NeurIPS 2025Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning
255. NeurIPS 2025Scaling Embedding Layers in Language Models
256. NeurIPS 2025SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation
257. NeurIPS 2025Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity
258. NeurIPS 2025Simple and Efficient Heterogeneous Temporal Graph Neural Network
259. NeurIPS 2025Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
260. NeurIPS 2025Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
261. NeurIPS 2025Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum
262. NeurIPS 2025SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
263. NeurIPS 2025Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
264. NeurIPS 2025Subgraph Federated Learning via Spectral Methods
265. NeurIPS 2025The Parameterized Complexity of Computing the VC-Dimension
266. NeurIPS 2025The quest for the GRAph Level autoEncoder (GRALE)
267. NeurIPS 2025The Rise of Parameter Specialization for Knowledge Storage in Large Language Models
268. NeurIPS 2025Token Embeddings Violate the Manifold Hypothesis
269. NeurIPS 2025TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning
270. NeurIPS 2025Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients
271. NeurIPS 2025Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement
272. NeurIPS 2025Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
273. NeurIPS 2025Towards Pre-trained Graph Condensation via Optimal Transport
274. NeurIPS 2025Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones
275. NeurIPS 2025Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning
276. NeurIPS 2025Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations
277. NeurIPS 2025Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
278. NeurIPS 2025UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models
279. NeurIPS 2025Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
280. NeurIPS 2025UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring
281. NeurIPS 2025UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge
282. NeurIPS 2025Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation
283. NeurIPS 2025Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs
284. NeurIPS 2025Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
285. NeurIPS 2025Wavy Transformer
286. NeurIPS 2025What do you know? Bayesian knowledge inference for navigating agents
287. NeurIPS 2025Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation
288. NeurIPS 2024$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
289. NeurIPS 2024$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs
290. NeurIPS 2024A Foundation Model for Zero-shot Logical Query Reasoning
291. NeurIPS 2024A hierarchical decomposition for explaining ML performance discrepancies
292. NeurIPS 2024A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
293. NeurIPS 2024A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
294. NeurIPS 2024A Structure-Aware Framework for Learning Device Placements on Computation Graphs
295. NeurIPS 2024Achieving Domain-Independent Certified Robustness via Knowledge Continuity
296. NeurIPS 2024Adversarial Moment-Matching Distillation of Large Language Models
297. NeurIPS 2024Almost Surely Asymptotically Constant Graph Neural Networks
298. NeurIPS 2024AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
299. NeurIPS 2024Bayesian Optimization of Functions over Node Subsets in Graphs
300. NeurIPS 2024Benchmarking Structural Inference Methods for Interacting Dynamical Systems with Synthetic Data

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.