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

426 papers, page 4 of 9

151. ICLR 2024Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
152. ICLR 2024Supervised Knowledge Makes Large Language Models Better In-context Learners
153. ICLR 2024Talk like a Graph: Encoding Graphs for Large Language Models
154. ICLR 2024TEDDY: Trimming Edges with Degree-based Discrimination Strategy
155. ICLR 2024Temporal Generalization Estimation in Evolving Graphs
156. ICLR 2024The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
157. ICLR 2024Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
158. ICLR 2024Toward Student-oriented Teacher Network Training for Knowledge Distillation
159. ICLR 2024Towards Foundation Models for Knowledge Graph Reasoning
160. ICLR 2024Towards the Fundamental Limits of Knowledge Transfer over Finite Domains
161. ICLR 2024Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
162. ICLR 2024Training Graph Transformers via Curriculum-Enhanced Attention Distillation
163. ICLR 2024Understanding Expressivity of GNN in Rule Learning
164. ICLR 2024Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
165. ICLR 2024Unveiling Options with Neural Network Decomposition
166. ICLR 2024Unveiling the Pitfalls of Knowledge Editing for Large Language Models
167. ICLR 2024VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
168. ICLR 2024VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
169. ICLR 2024What does the Knowledge Neuron Thesis Have to do with Knowledge?
170. ICLR 2024Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
171. ICML 2024A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
172. ICML 2024Adaptive Proximal Gradient Methods Are Universal Without Approximation
173. ICML 2024Ambiguity-Aware Abductive Learning
174. ICML 2024An Empirical Study of Realized GNN Expressiveness
175. ICML 2024Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification
176. ICML 2024Bayesian Program Learning by Decompiling Amortized Knowledge
177. ICML 2024Bipartite Matching in Massive Graphs: A Tight Analysis of EDCS
178. ICML 2024Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
179. ICML 2024CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback
180. ICML 2024Class-Imbalanced Graph Learning without Class Rebalancing
181. ICML 2024Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
182. ICML 2024Community-Invariant Graph Contrastive Learning
183. ICML 2024Comparing Graph Transformers via Positional Encodings
184. ICML 2024Convergence Guarantees for the DeepWalk Embedding on Block Models
185. ICML 2024DetKDS: Knowledge Distillation Search for Object Detectors
186. ICML 2024Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View
187. ICML 2024DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
188. ICML 2024Differentially Private Decentralized Learning with Random Walks
189. ICML 2024Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
190. ICML 2024Do Topological Characteristics Help in Knowledge Distillation?
191. ICML 2024DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
192. ICML 2024Dynamic Metric Embedding into lp Space
193. ICML 2024Dynamic Spectral Clustering with Provable Approximation Guarantee
194. ICML 2024Efficient Contextual Bandits with Uninformed Feedback Graphs
195. ICML 2024Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
196. ICML 2024Empowering Graph Invariance Learning with Deep Spurious Infomax
197. ICML 2024Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
198. ICML 2024EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
199. ICML 2024Exploring Correlations of Self-Supervised Tasks for Graphs
200. ICML 2024Faster Streaming and Scalable Algorithms for Finding Directed Dense Subgraphs in Large 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.