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

149 papers, page 1 of 3

1. ICML 2026$G^2$-Reader: Dual Evolving Graphs for Multimodal Document QA
2. ICML 2026A Graph Foundation Model with Cross-Modal Alignment and Modality-Aware Expert Fusion for Multi-Modal Graphs
3. ICML 2026A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation
4. ICML 2026A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
5. ICML 2026A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions
6. ICML 2026A Unifying Relational Perspective on Expressive Lottery Tickets
7. ICML 2026Adapting to Evolving Graphs: A Scalable Framework for Dynamic Coarsening
8. ICML 2026Adaptive Memory Retention in Dynamic Graphs
9. ICML 2026Adaptive Recurrent Message Passing for Test Time Computing on Graphs
10. ICML 2026An Approximation Algorithm for Graph Label Selection
11. ICML 2026Anchor-guided Hypergraph Condensation with Dual-level Discrimination
12. ICML 2026Any-dimensional invariant universality
13. ICML 2026AnyEdit++: Adaptive Long-Form Knowledge Editing via Bayesian Surprise
14. ICML 2026Backjump-on-Graph: Empowering Large Language Models with Reinforced Retrospective Exploration for Agentic Knowledge Graph Reasoning
15. ICML 2026Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs
16. ICML 2026Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs
17. ICML 2026Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting
18. ICML 2026Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
19. ICML 2026BlitzRank: Principled Zero-shot Ranking Agents with Tournament Graphs
20. ICML 2026Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement
21. ICML 2026Breaking the Scale Barrier: One-Shot Knowledge Transfer via Frequency Transform
22. ICML 2026Bridging Structure and Semantics: Uncertainty-Modulated Dual-Path Diffusion for Robust Text-Attributed Graph Learning
23. ICML 2026Calibrated Knowledge Aggregation in Bayesian Mixture-of-Experts for Continual VQA
24. ICML 2026CausalRAG2: Hierarchical Causal Knowledge Graph Design for RAG
25. ICML 2026CL-GCL: Comprehensive and Lightweight Graph Contrastive Learning
26. ICML 2026Clustering as Reasoning: A $k$-Means Interpretation of Chain-of-Thought Graph Learning
27. ICML 2026Collapsed Effective Operators for Higher-order Structures
28. ICML 2026Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration
29. ICML 2026Continual Model Routing in Evolving Model Hubs
30. ICML 2026Cross-Modal Knowledge Distillation without Paired Data: Theoretical Foundation and Algorithm
31. ICML 2026DANCE: Dynamic, Available, Neighbor-gated Condensation for Federated Text-Attributed Graphs
32. ICML 2026Deep neural networks divide and conquer dihedral multiplication
33. ICML 2026Discrete Survival Knowledge Distillation for Competing Risks Analysis
34. ICML 2026Discriminative Mixture-of-Experts on Graphs with Reliable Expert Fusion
35. ICML 2026Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models
36. ICML 2026Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning
37. ICML 2026DNA: Uncovering Universal Latent Forgery Knowledge
38. ICML 2026DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
39. ICML 2026Dynamics Reveals Structure: Challenging the Linear Propagation Assumption
40. ICML 2026EmBrace: A Collective Knowledge Fusion Framework Toward Unified EEG Foundation Models
41. ICML 2026Entropy-aware Span-Constrained Optimal Transport for Robust Cross-Tokenizer Knowledge Distillation
42. ICML 2026ERAlign: Energy-based Representation Alignment of GNNs and LLMs on Text-attributed Graphs
43. ICML 2026Expressive Graph Neural Networks via Equivariant Use of Noise
44. ICML 2026Faithful Relational Reasoning with Region-based Embeddings: Expressivity of Convex Coordinate-wise Models
45. ICML 2026Fast Estimation for Forest Matrix of Signed Graphs
46. ICML 2026Fast Mixture of Curvature-Aware Experts for Diverse and Dynamic Graph Topologies
47. ICML 2026Finding the Minimal Parameter Budget for Implicit Reasoning: A Data Complexity Driven Scaling Law for Language Models
48. ICML 2026Fix the Mind, Not the Move: Interpretable AI Assistance via Knowledge-Gap Localization
49. ICML 2026FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space
50. ICML 2026FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment

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.