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

1,715 papers, page 15 of 35

701. ICLR 2025Rationalizing and Augmenting Dynamic Graph Neural Networks
702. ICLR 2025Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
703. ICLR 2025Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
704. ICLR 2025Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs
705. ICLR 2025Recovering Manifold Structure Using Ollivier Ricci Curvature
706. ICLR 2025Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
707. ICLR 2025Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features
708. ICLR 2025Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery
709. ICLR 2025Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
710. ICLR 2025Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features
711. ICLR 2025Revealing and Mitigating Over-Attention in Knowledge Editing
712. ICLR 2025Revisiting Random Walks for Learning on Graphs
713. ICLR 2025Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
714. ICLR 2025Scalable Influence and Fact Tracing for Large Language Model Pretraining
715. ICLR 2025Scale-Free Graph-Language Models
716. ICLR 2025SelKD: Selective Knowledge Distillation via Optimal Transport Perspective
717. ICLR 2025Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
718. ICLR 2025Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
719. ICLR 2025Single Teacher, Multiple Perspectives: Teacher Knowledge Augmentation for Enhanced Knowledge Distillation
720. ICLR 2025SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
721. ICLR 2025Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
722. ICLR 2025Spectro-Riemannian Graph Neural Networks
723. ICLR 2025Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling
724. ICLR 2025Spreading Out-of-Distribution Detection on Graphs
725. ICLR 2025ST-GCond: Self-supervised and Transferable Graph Dataset Condensation
726. ICLR 2025StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
727. ICLR 2025Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models
728. ICLR 2025Subgraph Federated Learning for Local Generalization
729. ICLR 2025Systematic Relational Reasoning With Epistemic Graph Neural Networks
730. ICLR 2025TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models
731. ICLR 2025The Computational Complexity of Positive Non-Clashing Teaching in Graphs
732. ICLR 2025The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited
733. ICLR 2025Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
734. ICLR 2025Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
735. ICLR 2025Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs
736. ICLR 2025Towards a Complete Logical Framework for GNN Expressiveness
737. ICLR 2025Towards Automated Knowledge Integration From Human-Interpretable Representations
738. ICLR 2025Towards Bridging Generalization and Expressivity of Graph Neural Networks
739. ICLR 2025Towards Continuous Reuse of Graph Models via Holistic Memory Diversification
740. ICLR 2025Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming
741. ICLR 2025Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians
742. ICLR 2025Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
743. ICLR 2025Training-Free Message Passing for Learning on Hypergraphs
744. ICLR 2025Uncovering Overfitting in Large Language Model Editing
745. ICLR 2025Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
746. ICLR 2025Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
747. ICLR 2025Valid Conformal Prediction for Dynamic GNNs
748. ICLR 2025What Are Good Positional Encodings for Directed Graphs?
749. ICLR 2025When Graph Neural Networks Meet Dynamic Mode Decomposition
750. ICML 2025A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks

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.