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 4 of 11

151. NeurIPS 2025Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models
152. NeurIPS 2025Curriculum Abductive Learning
153. NeurIPS 2025Data Mixing Can Induce Phase Transitions in Knowledge Acquisition
154. NeurIPS 2025DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases
155. NeurIPS 2025Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models
156. NeurIPS 2025DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
157. NeurIPS 2025Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs
158. NeurIPS 2025Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
159. NeurIPS 2025Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer
160. NeurIPS 2025Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
161. NeurIPS 2025Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking
162. NeurIPS 2025Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search
163. NeurIPS 2025Distribution Learning Meets Graph Structure Sampling
164. NeurIPS 2025DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning
165. NeurIPS 2025Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
166. NeurIPS 2025DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion
167. NeurIPS 2025DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
168. NeurIPS 2025Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs
169. NeurIPS 2025Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
170. NeurIPS 2025Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem
171. NeurIPS 2025Efficient Verified Unlearning For Distillation
172. NeurIPS 2025Elastic Robust Unlearning of Specific Knowledge in Large Language Models
173. NeurIPS 2025Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation
174. NeurIPS 2025Embeddings as Probabilistic Equivalence in Logic Programs
175. NeurIPS 2025Enhancing LLM Planning for Robotics Manipulation through Hierarchical Procedural Knowledge Graphs
176. NeurIPS 2025Estimating Hitting Times Locally at Scale
177. NeurIPS 2025Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
178. NeurIPS 2025Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
179. NeurIPS 2025Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
180. NeurIPS 2025Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement
181. NeurIPS 2025FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning
182. NeurIPS 2025FedIGL: Federated Invariant Graph Learning for Non-IID Graphs
183. NeurIPS 2025Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation
184. NeurIPS 2025Flatten Graphs as Sequences: Transformers are Scalable Graph Generators
185. NeurIPS 2025Flick: Empowering Federated Learning with Commonsense Knowledge
186. NeurIPS 2025FoGE: Fock Space inspired encoding for graph prompting
187. NeurIPS 2025Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge
188. NeurIPS 2025From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning
189. NeurIPS 2025Graph Diffusion that can Insert and Delete
190. NeurIPS 2025Graph Persistence goes Spectral
191. NeurIPS 2025GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
192. NeurIPS 2025Graphs Help Graphs: Multi-Agent Graph Socialized Learning
193. NeurIPS 2025GRIP: A Graph-Based Reasoning Instruction Producer
194. NeurIPS 2025Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings
195. NeurIPS 2025Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models
196. NeurIPS 2025How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation
197. NeurIPS 2025HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling
198. NeurIPS 2025HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
199. NeurIPS 2025Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point
200. NeurIPS 2025Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation

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.