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

571 papers, page 1 of 12

1. ICLR 2026<SO$G_k$>: One LLM Token for Explicit Graph Structural Understanding
2. ICLR 2026$\ell_1$ Latent Distance based Continuous-time Graph Representation
3. ICLR 2026A Fictional Q&A Dataset for Studying Memorization and Knowledge Acquisition
4. ICLR 2026A Graph Meta-Network for Learning on Kolmogorov–Arnold Networks
5. ICLR 2026A Rich Knowledge Space for Scalable Deepfake Detection
6. ICLR 2026ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall
7. ICLR 2026Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference
8. ICLR 2026Adaptive Data-Knowledge Alignment in Genetic Perturbation Prediction
9. ICLR 2026Adaptive Mixture of Disentangled Experts for Dynamic Graphs under Distribution Shifts
10. ICLR 2026AdaSpec: Adaptive Spectrum for Enhanced Node Distinguishability
11. ICLR 2026AdS-GNN - a Conformally Equivariant Graph Neural Network
12. ICLR 2026AMiD: Knowledge Distillation for LLMs with $\alpha$-mixture Assistant Distribution
13. ICLR 2026Any-Subgroup Equivariant Networks via Symmetry Breaking
14. ICLR 2026Are LLMs Really Not Knowledgeable? Mining the Submerged Knowledge in LLMs' Memory
15. ICLR 2026Are we measuring oversmoothing in graph neural networks correctly?
16. ICLR 2026AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM
17. ICLR 2026Atomic HINs: Entity-Attribute Duality for Heterogeneous Graph Modeling
18. ICLR 2026BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
19. ICLR 2026Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion
20. ICLR 2026Beyond Entity Correlations: Disentangling Event Causal Puzzles in Temporal Knowledge Graphs
21. ICLR 2026Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs
22. ICLR 2026Beyond Student: An Asymmetric Network for Neural Network Inheritance
23. ICLR 2026Bilinear relational structure fixes reversal curse and enables consistent model editing
24. ICLR 2026BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals
25. ICLR 2026BIRD: Behavior Induction via Representation-structure Distillation
26. ICLR 2026BoGrape: Bayesian optimization over graphs with shortest-path encoded
27. ICLR 2026Bridging Input Feature Spaces Towards Graph Foundation Models
28. ICLR 2026BrowseNet: Knowledge Graph-Based Associative Memory for Contextual Information Retrieval
29. ICLR 2026CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers for Causally Constrained Predictions
30. ICLR 2026Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data
31. ICLR 2026CheckMate! Watermarking Graph Diffusion Models in Polynomial Time
32. ICLR 2026Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
33. ICLR 2026CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
34. ICLR 2026Combination-of-Experts with Knowledge Sharing for Cross-Task Vehicle Routing Problems
35. ICLR 2026Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering
36. ICLR 2026Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs
37. ICLR 2026Cooperative Sheaf Neural Networks
38. ICLR 2026Copy-Paste to Mitigate Large Language Model Hallucinations
39. ICLR 2026DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS
40. ICLR 2026Dataset Distillation for Memorized Data: Soft Labels can Leak Held-Out Teacher Knowledge
41. ICLR 2026Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning
42. ICLR 2026Differentiable JPEG-based Input Perturbation for Knowledge Distillation Amplification via Conditional Mutual Information Maximization
43. ICLR 2026Differentiable Lifting for Topological Neural Networks
44. ICLR 2026Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
45. ICLR 2026Disentangling Knowledge Representations for Large Language Model Editing
46. ICLR 2026Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency
47. ICLR 2026Distillation of Large Language Models via Concrete Score Matching
48. ICLR 2026Distilling and Adapting: A Topology-Aware Framework for Zero-Shot Interaction Prediction in Multiplex Biological Networks
49. ICLR 2026Diverse and Sparse Mixture-of-Experts for Causal Subgraph–Based Out-of-Distribution Graph Learning
50. ICLR 2026Do Large Language Models Know What They Are Capable Of?

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.