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

516 papers, page 7 of 11

301. NeurIPS 2024BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
302. NeurIPS 2024Boosting Graph Pooling with Persistent Homology
303. NeurIPS 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
304. NeurIPS 2024Challenges of Generating Structurally Diverse Graphs
305. NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
306. NeurIPS 2024Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
307. NeurIPS 2024Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding
308. NeurIPS 2024Co-occurrence is not Factual Association in Language Models
309. NeurIPS 2024Compact Language Models via Pruning and Knowledge Distillation
310. NeurIPS 2024ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
311. NeurIPS 2024Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
312. NeurIPS 2024Continuous Product Graph Neural Networks
313. NeurIPS 2024Cost-efficient Knowledge-based Question Answering with Large Language Models
314. NeurIPS 2024CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search
315. NeurIPS 2024DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
316. NeurIPS 2024DDK: Distilling Domain Knowledge for Efficient Large Language Models
317. NeurIPS 2024Decoupled Kullback-Leibler Divergence Loss
318. NeurIPS 2024DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach
319. NeurIPS 2024Deep Graph Mating
320. NeurIPS 2024Deep Homomorphism Networks
321. NeurIPS 2024Deep Submodular Peripteral Networks
322. NeurIPS 2024DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
323. NeurIPS 2024Dissecting the Failure of Invariant Learning on Graphs
324. NeurIPS 2024DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
325. NeurIPS 2024Efficient Graph Matching for Correlated Stochastic Block Models
326. NeurIPS 2024Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors
327. NeurIPS 2024Embedding-Aligned Language Models
328. NeurIPS 2024Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
329. NeurIPS 2024End-to-End Ontology Learning with Large Language Models
330. NeurIPS 2024Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
331. NeurIPS 2024Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
332. NeurIPS 2024Even Sparser Graph Transformers
333. NeurIPS 2024Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks
334. NeurIPS 2024Exponential Quantum Communication Advantage in Distributed Inference and Learning
335. NeurIPS 2024EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking
336. NeurIPS 2024FairWire: Fair Graph Generation
337. NeurIPS 2024Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers
338. NeurIPS 2024FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
339. NeurIPS 2024FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
340. NeurIPS 2024FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
341. NeurIPS 2024Finding good policies in average-reward Markov Decision Processes without prior knowledge
342. NeurIPS 2024FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
343. NeurIPS 2024FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
344. NeurIPS 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
345. NeurIPS 2024Generalizing CNNs to graphs with learnable neighborhood quantization
346. NeurIPS 2024Generative Modelling of Structurally Constrained Graphs
347. NeurIPS 2024Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
348. NeurIPS 2024Graph Classification via Reference Distribution Learning: Theory and Practice
349. NeurIPS 2024Graph Coarsening with Message-Passing Guarantees
350. NeurIPS 2024Graph neural networks and non-commuting operators

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.