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 28 of 35

1351. NeurIPS 2024Knowledge Graph Completion by Intermediate Variables Regularization
1352. NeurIPS 2024Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
1353. NeurIPS 2024LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations
1354. NeurIPS 2024Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases
1355. NeurIPS 2024Language Models as Hierarchy Encoders
1356. NeurIPS 2024Large Language Model Unlearning via Embedding-Corrupted Prompts
1357. NeurIPS 2024Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
1358. NeurIPS 2024Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
1359. NeurIPS 2024Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
1360. NeurIPS 2024Learning on Large Graphs using Intersecting Communities
1361. NeurIPS 2024Learning Representations for Hierarchies with Minimal Support
1362. NeurIPS 2024Linear Uncertainty Quantification of Graphical Model Inference
1363. NeurIPS 2024Long-range Meta-path Search on Large-scale Heterogeneous Graphs
1364. NeurIPS 2024MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs
1365. NeurIPS 2024Mixture of Link Predictors on Graphs
1366. NeurIPS 2024MKGL: Mastery of a Three-Word Language
1367. NeurIPS 2024Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets
1368. NeurIPS 2024Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits
1369. NeurIPS 2024Non-convolutional graph neural networks.
1370. NeurIPS 2024Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
1371. NeurIPS 2024On the Scalability of GNNs for Molecular Graphs
1372. NeurIPS 2024Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
1373. NeurIPS 2024Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
1374. NeurIPS 2024Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
1375. NeurIPS 2024PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
1376. NeurIPS 2024Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
1377. NeurIPS 2024Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust
1378. NeurIPS 2024ProG: A Graph Prompt Learning Benchmark
1379. NeurIPS 2024Pruning neural network models for gene regulatory dynamics using data and domain knowledge
1380. NeurIPS 2024Reasons and Solutions for the Decline in Model Performance after Editing
1381. NeurIPS 2024Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
1382. NeurIPS 2024Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
1383. NeurIPS 2024Right this way: Can VLMs Guide Us to See More to Answer Questions?
1384. NeurIPS 2024Robust Offline Active Learning on Graphs
1385. NeurIPS 2024RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
1386. NeurIPS 2024S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
1387. NeurIPS 2024Sample Efficient Bayesian Learning of Causal Graphs from Interventions
1388. NeurIPS 2024Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data
1389. NeurIPS 2024SIRIUS : Contexual Sparisty with Correction for Efficient LLMs
1390. NeurIPS 2024Spatio-Spectral Graph Neural Networks
1391. NeurIPS 2024Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
1392. NeurIPS 2024Spiking Graph Neural Network on Riemannian Manifolds
1393. NeurIPS 2024STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
1394. NeurIPS 2024State Space Models on Temporal Graphs: A First-Principles Study
1395. NeurIPS 2024Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
1396. NeurIPS 2024Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection
1397. NeurIPS 2024Supra-Laplacian Encoding for Transformer on Dynamic Graphs
1398. NeurIPS 2024Tackling Uncertain Correspondences for Multi-Modal Entity Alignment
1399. NeurIPS 2024TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
1400. NeurIPS 2024Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction

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.