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

1,715 papers, page 4 of 35

151. ICLR 2026Intrinsic Lorentz Neural Network
152. ICLR 2026KGOT: Unified Knowledge Graph and Optimal Transport Pseudo-Labeling for Molecule-Protein Interaction Prediction
153. ICLR 2026Knowledge Distillation as Decontamination? Revisiting the “Data Laundering” Concern
154. ICLR 2026Knowledge Distillation for Large Language Models through Residual Learning
155. ICLR 2026Knowledge Editing with Subspace-Aware Key-Value Mappings
156. ICLR 2026Knowledge Fusion of Large Language Models via Modular SkillPacks
157. ICLR 2026Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning
158. ICLR 2026KnowledgeSmith: Uncovering Knowledge Updating in LLMs with Model Editing and Unlearning
159. ICLR 2026KnowProxy: Adapting Large Language Models by Knowledge-guided Proxy
160. ICLR 2026Latent Geometry-Driven Network Automata for Complex Network Dismantling
161. ICLR 2026LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
162. ICLR 2026Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
163. ICLR 2026Learning Dynamic Causal Graphs Under Parametric Uncertainty via Polynomial Chaos Expansions
164. ICLR 2026Learning from Historical Activations in Graph Neural Networks
165. ICLR 2026Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors
166. ICLR 2026Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
167. ICLR 2026LINGOLY-TOO: Disentangling Reasoning from Knowledge with Templatised Orthographic Obfuscation
168. ICLR 2026LLMs Struggle to Balance Reasoning and World Knowledge in Causal Narrative Understanding
169. ICLR 2026Low-pass Personalized Subgraph Federated Recommendation
170. ICLR 2026LRIM: a Physics-Based Benchmark for Provably Evaluating Long-Range Capabilities in Graph Learning
171. ICLR 2026LUMINA: Detecting Hallucinations in RAG System with Context–Knowledge Signals
172. ICLR 2026Mapping Post-Training Forgetting in Language Models at Scale
173. ICLR 2026MaRS: Memory-Adaptive Routing for Reliable Capacity Expansion and Knowledge Retention
174. ICLR 2026MCbiF: Measuring Topological Autocorrelation in Multiscale Clusterings via 2-Parameter Persistent Homology
175. ICLR 2026Medical Interpretability and Knowledge Maps of Large Language Models
176. ICLR 2026Minimax Sample Complexity of Graph Neural Networks: Lower Bounds and Structural Effects
177. ICLR 2026Mixed-Curvature Tree-Sliced Wasserstein Distance
178. ICLR 2026MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs
179. ICLR 2026MobileKGQA: On-Device KGQA System on Dynamic Mobile Environments
180. ICLR 2026Modality-free Graph In-context Alignment
181. ICLR 2026MolecularIQ: Characterizing Chemical Reasoning Capabilities Through Symbolic Verification on Molecular Graphs
182. ICLR 2026MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Models for Embodied Task Planning
183. ICLR 2026Multi-Domain Transferable Graph Gluing for Building Graph Foundation Models
184. ICLR 2026Multiple Streams of Knowledge Retrieval: Enriching and Recalling in Transformers
185. ICLR 2026Neural Graduated Assignment for Maximum Common Edge Subgraphs
186. ICLR 2026Neural Message-Passing on Attention Graphs for Hallucination Detection
187. ICLR 2026Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds
188. ICLR 2026On The Expressive Power of GNN Derivatives
189. ICLR 2026On the Expressive Power of GNNs for Boolean Satisfiability
190. ICLR 2026On the identifiability of causal graphs with multiple environments
191. ICLR 2026On the trade-off between expressivity and privacy in graph representation learning
192. ICLR 2026On the Universality and Complexity of GNN for Solving Second-order Cone Programs
193. ICLR 2026One for Two: A Unified Framework for Imbalanced Graph Classification via Dynamic Balanced Prototype
194. ICLR 2026Oversmoothing, "Oversquashing'', Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
195. ICLR 2026OWLEYE: ZERO-SHOT LEARNER FOR CROSSDOMAIN GRAPH DATA ANOMALY DETECTION
196. ICLR 2026Panoptic Pairwise Distortion Graph
197. ICLR 2026Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation
198. ICLR 2026Plan-Answer-Refine-on-Graph: Structured Planning and Self-Refinement for Large Language Model Reasoning on Knowledge Graphs
199. ICLR 2026Pre-training Limited Memory Language Models with Internal and External Knowledge
200. ICLR 2026Pretraining with hierarchical memories: separating long-tail and common knowledge

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.