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

571 papers, page 4 of 12

151. ICLR 2026ProofFlow: A Dependency Graph Approach to Faithful Proof Autoformalization
152. ICLR 2026Proper Velocity Neural Networks
153. ICLR 2026Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees
154. ICLR 2026Query-Specific Causal Graph Pruning Under Tiered Knowledge
155. ICLR 2026R4: Nested Reasoning-Retrieval for Reward Modeling in Role-Playing Agents
156. ICLR 2026RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
157. ICLR 2026RefTool: Reference-Guided Tool Creation for Knowledge-Intensive Reasoning
158. ICLR 2026Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems
159. ICLR 2026Relational Graph Transformer
160. ICLR 2026Relatron: Automating Relational Machine Learning over Relational Databases
161. ICLR 2026Remaining-data-free Machine Unlearning by Suppressing Sample Contribution
162. ICLR 2026Rethinking the Gold Standard: Why Discrete Curvature Fails to Fully Capture Over-squashing in GNNs?
163. ICLR 2026Revisting Node Affinity Prediction In Temporal Graphs
164. ICLR 2026SAGA: Structural Aggregation Guided Alignment with Dynamic View and Neighborhood Order Selection for Multiview Graph Domain Adaptation
165. ICLR 2026SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation
166. ICLR 2026Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database
167. ICLR 2026Selective Rotary Position Embedding
168. ICLR 2026Self-Consistency Improves the Trustworthiness of Self-Interpretable GNNs
169. ICLR 2026SGD-Based Knowledge Distillation with Bayesian Teachers: Theory and Guidelines
170. ICLR 2026Sheaves Reloaded: A Direction Awakening
171. ICLR 2026Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems
172. ICLR 2026SOSBENCH: Benchmarking Safety Alignment on Scientific Knowledge
173. ICLR 2026Spectral-guided Physical Dynamics Distillation
174. ICLR 2026STAR: Similarity-guided Teacher-Assisted Refinement for Super-Tiny Function Calling Models
175. ICLR 2026STEM: SCALING TRANSFORMERS WITH EMBEDDING MODULES
176. ICLR 2026Structurally Human, Semantically Biased: Detecting LLM-Generated References with Embeddings and GNNs
177. ICLR 2026TangleScore: Tangle-Guided Purge and Imprint for Unstructured Knowledge Editing
178. ICLR 2026Temporal Geometry of Deep Networks: Hyperbolic Representations of Training Dynamics for Intrinsic Explainability
179. ICLR 2026Temporal Graph Thumbnail: Robust Representation Learning with Global Evolutionary Skeleton
180. ICLR 2026TGM: A Modular and Efficient Library for Machine Learning on Temporal Graphs
181. ICLR 2026The Logical Expressiveness of Topological Neural Networks
182. ICLR 2026The Natural Geometry of Code: Hyperbolic Representation Learning for Program Reasoning
183. ICLR 2026The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation
184. ICLR 2026Theoretical Guarantees for Causal Discovery on Large Random Graphs
185. ICLR 2026TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA
186. ICLR 2026TopoFormer: Topology Meets Attention for Graph Learning
187. ICLR 2026Topological Anomaly Quantification for Semi-supervised Graph Anomaly Detection
188. ICLR 2026Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering
189. ICLR 2026Towards Improved Sentence Representations using Token Graphs
190. ICLR 2026Towards Improvisational TAMP: Learning Low-Level Shortcuts in Abstract Planning Graphs
191. ICLR 2026Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
192. ICLR 2026Tracing and Reversing Edits in LLMs
193. ICLR 2026Two (narrow) heads are better than (an arbitrarily wide) one
194. ICLR 2026UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction
195. ICLR 2026Verifying Chain-of-Thought Reasoning via Its Computational Graph
196. ICLR 2026VoG: Enhancing LLM Reasoning through Stepwise Verification on Knowledge Graphs
197. ICLR 2026WATS: Wavelet-Aware Temperature Scaling for Reliable Graph Neural Networks
198. ICLR 2026When Silence Is Golden: Can LLMs Learn to Abstain in Temporal QA and Beyond?
199. ICLR 2026When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
200. ICLR 2026Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective

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.