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

72 papers, page 1 of 2

1. ICML 2023A Generalization of ViT/MLP-Mixer to Graphs
2. ICML 2023All in a Row: Compressed Convolution Networks for Graphs
3. ICML 2023Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
4. ICML 2023Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
5. ICML 2023Boosting Graph Contrastive Learning via Graph Contrastive Saliency
6. ICML 2023Causal Bounds in Quasi-Markovian Graphs
7. ICML 2023ClusterFuG: Clustering Fully connected Graphs by Multicut
8. ICML 2023Combinatorial Neural Bandits
9. ICML 2023Dink-Net: Neural Clustering on Large Graphs
10. ICML 2023DRew: Dynamically Rewired Message Passing with Delay
11. ICML 2023E$(n)$ Equivariant Message Passing Simplicial Networks
12. ICML 2023Ewald-based Long-Range Message Passing for Molecular Graphs
13. ICML 2023Expectation-Complete Graph Representations with Homomorphisms
14. ICML 2023Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
15. ICML 2023Exphormer: Sparse Transformers for Graphs
16. ICML 2023Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
17. ICML 2023Fair Neighbor Embedding
18. ICML 2023Fast Online Node Labeling for Very Large Graphs
19. ICML 2023Featured Graph Coarsening with Similarity Guarantees
20. ICML 2023Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs
21. ICML 2023Fisher Information Embedding for Node and Graph Learning
22. ICML 2023GOAT: A Global Transformer on Large-scale Graphs
23. ICML 2023GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
24. ICML 2023Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication
25. ICML 2023Graph Mixup with Soft Alignments
26. ICML 2023Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure
27. ICML 2023Graph Neural Tangent Kernel: Convergence on Large Graphs
28. ICML 2023Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
29. ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
30. ICML 2023Implicit Graph Neural Networks: A Monotone Operator Viewpoint
31. ICML 2023InGram: Inductive Knowledge Graph Embedding via Relation Graphs
32. ICML 2023Integrating Prior Knowledge in Contrastive Learning with Kernel
33. ICML 2023Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
34. ICML 2023Knowledge Hypergraph Embedding Meets Relational Algebra
35. ICML 2023Large Language Models Struggle to Learn Long-Tail Knowledge
36. ICML 2023LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
37. ICML 2023Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
38. ICML 2023Linear optimal partial transport embedding
39. ICML 2023Local Vertex Colouring Graph Neural Networks
40. ICML 2023Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single
41. ICML 2023MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement
42. ICML 2023Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs
43. ICML 2023Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal
44. ICML 2023On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs
45. ICML 2023On the Impact of Knowledge Distillation for Model Interpretability
46. ICML 2023One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding
47. ICML 2023Online Learning with Feedback Graphs: The True Shape of Regret
48. ICML 2023Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
49. ICML 2023Quantum 3D Graph Learning with Applications to Molecule Embedding
50. ICML 2023Regression with Label Permutation in Generalized Linear Model

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.