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

536 papers, page 7 of 11

301. ICML 2026Finding the Minimal Parameter Budget for Implicit Reasoning: A Data Complexity Driven Scaling Law for Language Models
302. ICML 2026Fix the Mind, Not the Move: Interpretable AI Assistance via Knowledge-Gap Localization
303. ICML 2026FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space
304. ICML 2026FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment
305. ICML 2026From Flat Facts to Sharp Hallucinations: Detecting Stubborn Errors via Gradient Sensitivity
306. ICML 2026From Knowledge to Inference: Formalizing Specialized Public Health Reasoning on GlobalHealthAtlas
307. ICML 2026Fully Dynamic Coreset Spectral Clustering
308. ICML 2026Generalist Graph Anomaly Detection via Prototype-Based Distillation
309. ICML 2026Generalized Schrödinger Bridge on Graphs
310. ICML 2026Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion
311. ICML 2026Geometry-Guided Generative Representation for Functional Brain Graphs
312. ICML 2026GFedCL: Graph-Based Federated Continual Learning with Spatial and Temporal Awareness
313. ICML 2026GKD-Recruiter: Jointly Modeling Social and Task Heterogeneity for Spatial Crowdsourcing via Graph Knowledge Distillation
314. ICML 2026GOCM: Single-Step Graph Outlier Synthesis via Origin Consistency Model
315. ICML 2026Gradient Transformer: Learning to Generate Updates for LLMs
316. ICML 2026Graph Neural Networks Are Not Continuous Across Graph Resolutions
317. ICML 2026GRASP: Graph Reasoning via Agentic Solving and Probing of LLMs
318. ICML 2026Group-wise Data Ordering: Enhancing Instruction Tuning of Large Language Models via Embedding Proximity
319. ICML 2026Heterogeneity-Aware Knowledge Sharing for Graph Federated Learning
320. ICML 2026Hierarchical Causal Abduction: A Foundation Framework for Explainable Model Predictive Control
321. ICML 2026HieRD: Hierarchical Relational Distillation for Vision-Language Embedding Models
322. ICML 2026Homophily-Heterogeneity Gradient Surgery for Federated Graph Learning
323. ICML 2026How can embedding models bind concepts?
324. ICML 2026HVAE: Hyperbolic Variational Autoencoder For Flexible Knowledge Transfer Across Multiple Domains
325. ICML 2026INDUCTION: Finite-Structure Concept Synthesis in First-Order Logic
326. ICML 2026Intra-Modal Neighbors Never Lie: Rectifying Inter-Modal Noisy Correspondence via Graph-Based Intra-Modal Reasoning
327. ICML 2026InvGNN: Learning Invertible Node Representations on Graphs
328. ICML 2026KITE: Knowledge-Guided Probabilistic Modeling for Time Series Forecasting with Exogenous Variables
329. ICML 2026Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
330. ICML 2026L2G-NET: Local to Global Spectral Graph Neural Networks via Cauchy Factorizations
331. ICML 2026Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge
332. ICML 2026Large Language Models as Topological Thinkers: A Benchmark on Graph Persistent Homology
333. ICML 2026Learn from A Rationalist: Distilling Intermediate Interpretable Rationales
334. ICML 2026Learnability-Driven Knowledge Assimilation for Class-Incremental Semantic Segmentation
335. ICML 2026Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
336. ICML 2026Learning Graph Foundation Models on Riemannian Graph-of-Graphs
337. ICML 2026Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models
338. ICML 2026Learning Protein Structure-Function Relationships through Knowledge-guided Representation Decomposition
339. ICML 2026LECTOR: Joint Learning of Scientific Reasoning Graphs and Introduction Generation
340. ICML 2026LEGO: An LLM-Enabled Hierarchical Optimizer for Tensor Computation Graphs with Structure-Aware Search and Compositional Synthesis
341. ICML 2026LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification
342. ICML 2026Lightweight and Interpretable Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast
343. ICML 2026LLM-MatLogic: Executable Exchange Contracts for Knowledge-Graph Query Answering with Scoped Negation
344. ICML 2026Memory as a Markov Matrix: Sample Efficient Knowledge Expansion via Token-to-Dictionary Mapping
345. ICML 2026MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation
346. ICML 2026Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
347. ICML 2026More Sail than Ballast: Addressing Harmful Knowledge Leakage in the Expansive Reasoning Space of LRMs
348. ICML 2026MoshiRAG: Asynchronous Knowledge Retrieval for Full-Duplex Speech Language Models
349. ICML 2026MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
350. ICML 2026Neural Dispersion on 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.