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

61 papers, page 1 of 2

1. CVPR 20233D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud
2. CVPR 2023A Unified Knowledge Distillation Framework for Deep Directed Graphical Models
3. CVPR 2023A-Cap: Anticipation Captioning With Commonsense Knowledge
4. CVPR 2023Advancing Visual Grounding With Scene Knowledge: Benchmark and Method
5. CVPR 2023AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
6. CVPR 2023BASiS: Batch Aligned Spectral Embedding Space
7. CVPR 2023CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection
8. CVPR 2023Class Attention Transfer Based Knowledge Distillation
9. CVPR 2023Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching
10. CVPR 2023Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation
11. CVPR 2023DaFKD: Domain-Aware Federated Knowledge Distillation
12. CVPR 2023Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint
13. CVPR 2023Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning
14. CVPR 2023Deep Graph Reprogramming
15. CVPR 2023Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection
16. CVPR 2023DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning
17. CVPR 2023EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets
18. CVPR 2023ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer
19. CVPR 2023FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs
20. CVPR 2023From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm
21. CVPR 2023Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
22. CVPR 2023HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models
23. CVPR 2023HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
24. CVPR 2023Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding
25. CVPR 2023Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles
26. CVPR 2023Incremental 3D Semantic Scene Graph Prediction From RGB Sequences
27. CVPR 2023Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class
28. CVPR 2023itKD: Interchange Transfer-Based Knowledge Distillation for 3D Object Detection
29. CVPR 2023KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation
30. CVPR 2023KiUT: Knowledge-Injected U-Transformer for Radiology Report Generation
31. CVPR 2023Knowledge Combination To Learn Rotated Detection Without Rotated Annotation
32. CVPR 2023Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions
33. CVPR 2023Learning and Aggregating Lane Graphs for Urban Automated Driving
34. CVPR 2023Learning Customized Visual Models With Retrieval-Augmented Knowledge
35. CVPR 2023Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
36. CVPR 2023Learning Situation Hyper-Graphs for Video Question Answering
37. CVPR 2023Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization
38. CVPR 2023Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
39. CVPR 2023Learning Transferable Spatiotemporal Representations From Natural Script Knowledge
40. CVPR 2023Local 3D Editing via 3D Distillation of CLIP Knowledge
41. CVPR 2023Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation
42. CVPR 2023Masked Autoencoders Enable Efficient Knowledge Distillers
43. CVPR 2023MEDIC: Remove Model Backdoors via Importance Driven Cloning
44. CVPR 2023Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph
45. CVPR 2023Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning
46. CVPR 2023Partial Network Cloning
47. CVPR 2023Probabilistic Debiasing of Scene Graphs
48. CVPR 2023Probabilistic Knowledge Distillation of Face Ensembles
49. CVPR 2023Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering
50. CVPR 2023Rethinking Feature-Based Knowledge Distillation for Face Recognition

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.