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 8 of 12

351. ICLR 2025Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models
352. ICLR 2025Subgraph Federated Learning for Local Generalization
353. ICLR 2025Systematic Relational Reasoning With Epistemic Graph Neural Networks
354. ICLR 2025TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models
355. ICLR 2025The Computational Complexity of Positive Non-Clashing Teaching in Graphs
356. ICLR 2025The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited
357. ICLR 2025Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
358. ICLR 2025Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
359. ICLR 2025Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs
360. ICLR 2025Towards a Complete Logical Framework for GNN Expressiveness
361. ICLR 2025Towards Automated Knowledge Integration From Human-Interpretable Representations
362. ICLR 2025Towards Bridging Generalization and Expressivity of Graph Neural Networks
363. ICLR 2025Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
364. ICLR 2025Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming
365. ICLR 2025Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians
366. ICLR 2025Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
367. ICLR 2025Training-Free Message Passing for Learning on Hypergraphs
368. ICLR 2025Uncovering Overfitting in Large Language Model Editing
369. ICLR 2025Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
370. ICLR 2025Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
371. ICLR 2025Valid Conformal Prediction for Dynamic GNNs
372. ICLR 2025What Are Good Positional Encodings for Directed Graphs?
373. ICLR 2025When Graph Neural Networks Meet Dynamic Mode Decomposition
374. ICLR 2024A Characterization Theorem for Equivariant Networks with Point-wise Activations
375. ICLR 2024A Differentially Private Clustering Algorithm for Well-Clustered Graphs
376. ICLR 2024A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
377. ICLR 2024A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs
378. ICLR 2024A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
379. ICLR 2024Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
380. ICLR 2024Approximately Piecewise E(3) Equivariant Point Networks
381. ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
382. ICLR 2024Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
383. ICLR 2024BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
384. ICLR 2024Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective
385. ICLR 2024Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
386. ICLR 2024Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
387. ICLR 2024Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
388. ICLR 2024Clifford Group Equivariant Simplicial Message Passing Networks
389. ICLR 2024Confidential-DPproof: Confidential Proof of Differentially Private Training
390. ICLR 2024Conformal Inductive Graph Neural Networks
391. ICLR 2024Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
392. ICLR 2024Constraint-Free Structure Learning with Smooth Acyclic Orientations
393. ICLR 2024CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
394. ICLR 2024Counting Graph Substructures with Graph Neural Networks
395. ICLR 2024Deceptive Fairness Attacks on Graphs via Meta Learning
396. ICLR 2024Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
397. ICLR 2024DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
398. ICLR 2024DistillSpec: Improving Speculative Decoding via Knowledge Distillation
399. ICLR 2024Effective Structural Encodings via Local Curvature Profiles
400. ICLR 2024Efficient Subgraph GNNs by Learning Effective Selection Policies

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.