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 25 of 35

1201. ICML 2024Exploring Correlations of Self-Supervised Tasks for Graphs
1202. ICML 2024Faster Streaming and Scalable Algorithms for Finding Directed Dense Subgraphs in Large Graphs
1203. ICML 2024Federated Continual Learning via Prompt-based Dual Knowledge Transfer
1204. ICML 2024FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion
1205. ICML 2024From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
1206. ICML 2024Gaussian Processes on Cellular Complexes
1207. ICML 2024Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
1208. ICML 2024Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
1209. ICML 2024GPTSwarm: Language Agents as Optimizable Graphs
1210. ICML 2024Graph As Point Set
1211. ICML 2024Graph Automorphism Group Equivariant Neural Networks
1212. ICML 2024Graph Mixup on Approximate Gromov–Wasserstein Geodesics
1213. ICML 2024Graph Neural Network Explanations are Fragile
1214. ICML 2024Graph Neural Networks Use Graphs When They Shouldn't
1215. ICML 2024Graph Neural Networks with a Distribution of Parametrized Graphs
1216. ICML 2024Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
1217. ICML 2024Graph-Triggered Rising Bandits
1218. ICML 2024How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
1219. ICML 2024Hypergraph-enhanced Dual Semi-supervised Graph Classification
1220. ICML 2024Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning
1221. ICML 2024Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach
1222. ICML 2024Incorporating probabilistic domain knowledge into deep multiple instance learning
1223. ICML 2024Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
1224. ICML 2024KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
1225. ICML 2024Knowledge Distillation with Auxiliary Variable
1226. ICML 2024Knowledge Graphs Can be Learned with Just Intersection Features
1227. ICML 2024Knowledge-aware Reinforced Language Models for Protein Directed Evolution
1228. ICML 2024Layerwise Change of Knowledge in Neural Networks
1229. ICML 2024Learning in Deep Factor Graphs with Gaussian Belief Propagation
1230. ICML 2024Learning Modality Knowledge Alignment for Cross-Modality Transfer
1231. ICML 2024Learning to Explore in POMDPs with Informational Rewards
1232. ICML 2024Less is More: on the Over-Globalizing Problem in Graph Transformers
1233. ICML 2024LLaGA: Large Language and Graph Assistant
1234. ICML 2024Long Range Propagation on Continuous-Time Dynamic Graphs
1235. ICML 2024MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
1236. ICML 2024Mitigating Label Noise on Graphs via Topological Sample Selection
1237. ICML 2024Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
1238. ICML 2024Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
1239. ICML 2024Neighboring Perturbations of Knowledge Editing on Large Language Models
1240. ICML 2024Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks
1241. ICML 2024Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
1242. ICML 2024OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
1243. ICML 2024On dimensionality of feature vectors in MPNNs
1244. ICML 2024On the Expressive Power of Spectral Invariant Graph Neural Networks
1245. ICML 2024On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors
1246. ICML 2024Optimal Batched Linear Bandits
1247. ICML 2024PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
1248. ICML 2024PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
1249. ICML 2024Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
1250. ICML 2024PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

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.