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

466 papers, page 6 of 10

251. ICML 2025Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
252. ICML 2025Guided Structural Inference: Leveraging Priors with Soft Gating Mechanisms
253. ICML 2025Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability
254. ICML 2025Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
255. ICML 2025Homophily Enhanced Graph Domain Adaptation
256. ICML 2025How Expressive are Knowledge Graph Foundation Models?
257. ICML 2025Improving Soft Unification with Knowledge Graph Embedding Methods
258. ICML 2025iN2V: Bringing Transductive Node Embeddings to Inductive Graphs
259. ICML 2025Is Complex Query Answering Really Complex?
260. ICML 2025KGMark: A Diffusion Watermark for Knowledge Graphs
261. ICML 2025KIND: Knowledge Integration and Diversion for Training Decomposable Models
262. ICML 2025Knowledge Retention in Continual Model-Based Reinforcement Learning
263. ICML 2025Knowledge Swapping via Learning and Unlearning
264. ICML 2025Knowledge-Guided Wasserstein Distributionally Robust Optimization
265. ICML 2025Learn Beneficial Noise as Graph Augmentation
266. ICML 2025Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction
267. ICML 2025Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing
268. ICML 2025MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
269. ICML 2025Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding
270. ICML 2025MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge
271. ICML 2025Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
272. ICML 2025Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
273. ICML 2025Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment
274. ICML 2025On the Power of Context-Enhanced Learning in LLMs
275. ICML 2025Online Sparsification of Bipartite-Like Clusters in Graphs
276. ICML 2025PAC Learning with Improvements
277. ICML 2025Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules
278. ICML 2025Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
279. ICML 2025Position: Spectral GNNs Rely Less on Graph Fourier Basis than Conceived
280. ICML 2025Positional Encoding meets Persistent Homology on Graphs
281. ICML 2025Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG
282. ICML 2025Primal-Dual Neural Algorithmic Reasoning
283. ICML 2025Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features
284. ICML 2025Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
285. ICML 2025Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding
286. ICML 2025Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation
287. ICML 2025RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation
288. ICML 2025Robust ML Auditing using Prior Knowledge
289. ICML 2025SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
290. ICML 2025sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models
291. ICML 2025SHARP-Distill: A 68× Faster Recommender System with Hypergraph Neural Networks and Language Models
292. ICML 2025Sort Before You Prune: Improved Worst-Case Guarantees of the DiskANN Family of Graphs
293. ICML 2025Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding
294. ICML 2025Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion
295. ICML 2025Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation
296. ICML 2025Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs
297. ICML 2025Taming Knowledge Conflicts in Language Models
298. ICML 2025TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion
299. ICML 2025Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
300. ICML 2025The Generalized Skew Spectrum of Graphs

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.