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 10 of 12

451. ICLR 2024Orbit-Equivariant Graph Neural Networks
452. ICLR 2024PAE: Reinforcement Learning from External Knowledge for Efficient Exploration
453. ICLR 2024Partitioning Message Passing for Graph Fraud Detection
454. ICLR 2024Predictive, scalable and interpretable knowledge tracing on structured domains
455. ICLR 2024PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
456. ICLR 2024Probabilistically Rewired Message-Passing Neural Networks
457. ICLR 2024Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
458. ICLR 2024Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
459. ICLR 2024Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
460. ICLR 2024Repelling Random Walks
461. ICLR 2024Rethinking and Extending the Probabilistic Inference Capacity of GNNs
462. ICLR 2024Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
463. ICLR 2024Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
464. ICLR 2024Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability
465. ICLR 2024Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
466. ICLR 2024Revisiting Link Prediction: a data perspective
467. ICLR 2024Robust Angular Synchronization via Directed Graph Neural Networks
468. ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
469. ICLR 2024Scalable and Effective Implicit Graph Neural Networks on Large Graphs
470. ICLR 2024Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
471. ICLR 2024SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
472. ICLR 2024Simplicial Representation Learning with Neural $k$-Forms
473. ICLR 2024Structural Fairness-aware Active Learning for Graph Neural Networks
474. ICLR 2024Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
475. ICLR 2024Supervised Knowledge Makes Large Language Models Better In-context Learners
476. ICLR 2024Talk like a Graph: Encoding Graphs for Large Language Models
477. ICLR 2024TEDDY: Trimming Edges with Degree-based Discrimination Strategy
478. ICLR 2024Temporal Generalization Estimation in Evolving Graphs
479. ICLR 2024The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
480. ICLR 2024Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
481. ICLR 2024Toward Student-oriented Teacher Network Training for Knowledge Distillation
482. ICLR 2024Towards Foundation Models for Knowledge Graph Reasoning
483. ICLR 2024Towards the Fundamental Limits of Knowledge Transfer over Finite Domains
484. ICLR 2024Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
485. ICLR 2024Training Graph Transformers via Curriculum-Enhanced Attention Distillation
486. ICLR 2024Understanding Expressivity of GNN in Rule Learning
487. ICLR 2024Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
488. ICLR 2024Unveiling Options with Neural Network Decomposition
489. ICLR 2024Unveiling the Pitfalls of Knowledge Editing for Large Language Models
490. ICLR 2024VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
491. ICLR 2024VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
492. ICLR 2024What does the Knowledge Neuron Thesis Have to do with Knowledge?
493. ICLR 2024Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
494. ICLR 2023A Differential Geometric View and Explainability of GNN on Evolving Graphs
495. ICLR 2023A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
496. ICLR 2023A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
497. ICLR 2023AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
498. ICLR 2023Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
499. ICLR 2023Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
500. ICLR 2023Characterizing the Influence of Graph Elements

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.