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 26 of 35

1251. ICML 2024Position: Why We Must Rethink Empirical Research in Machine Learning
1252. ICML 2024Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning
1253. ICML 2024QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
1254. ICML 2024Rethinking Momentum Knowledge Distillation in Online Continual Learning
1255. ICML 2024Revisit the Essence of Distilling Knowledge through Calibration
1256. ICML 2024Robust Graph Matching when Nodes are Corrupt
1257. ICML 2024S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
1258. ICML 2024Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency
1259. ICML 2024Semantically-correlated memories in a dense associative model
1260. ICML 2024SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
1261. ICML 2024SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States
1262. ICML 2024Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
1263. ICML 2024SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
1264. ICML 2024Stochastic Bandits with ReLU Neural Networks
1265. ICML 2024Sub-token ViT Embedding via Stochastic Resonance Transformers
1266. ICML 2024Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
1267. ICML 2024Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
1268. ICML 2024The Expressive Power of Path-Based Graph Neural Networks
1269. ICML 2024Transferring Knowledge From Large Foundation Models to Small Downstream Models
1270. ICML 2024Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
1271. ICML 2024Uncertainty for Active Learning on Graphs
1272. ICML 2024Understanding Finetuning for Factual Knowledge Extraction
1273. ICML 2024Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
1274. ICML 2024Weisfeiler-Leman at the margin: When more expressivity matters
1275. ICML 2024WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
1276. NeurIPS 2024$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
1277. NeurIPS 2024$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs
1278. NeurIPS 2024A Foundation Model for Zero-shot Logical Query Reasoning
1279. NeurIPS 2024A hierarchical decomposition for explaining ML performance discrepancies
1280. NeurIPS 2024A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
1281. NeurIPS 2024A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
1282. NeurIPS 2024A Structure-Aware Framework for Learning Device Placements on Computation Graphs
1283. NeurIPS 2024Achieving Domain-Independent Certified Robustness via Knowledge Continuity
1284. NeurIPS 2024Adversarial Moment-Matching Distillation of Large Language Models
1285. NeurIPS 2024Almost Surely Asymptotically Constant Graph Neural Networks
1286. NeurIPS 2024AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
1287. NeurIPS 2024Bayesian Optimization of Functions over Node Subsets in Graphs
1288. NeurIPS 2024Benchmarking Structural Inference Methods for Interacting Dynamical Systems with Synthetic Data
1289. NeurIPS 2024BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
1290. NeurIPS 2024Boosting Graph Pooling with Persistent Homology
1291. NeurIPS 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
1292. NeurIPS 2024Challenges of Generating Structurally Diverse Graphs
1293. NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
1294. NeurIPS 2024Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
1295. NeurIPS 2024Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding
1296. NeurIPS 2024Co-occurrence is not Factual Association in Language Models
1297. NeurIPS 2024Compact Language Models via Pruning and Knowledge Distillation
1298. NeurIPS 2024ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
1299. NeurIPS 2024Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
1300. NeurIPS 2024Continuous Product 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.