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 29 of 35

1401. NeurIPS 2024TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
1402. NeurIPS 2024Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
1403. NeurIPS 2024Towards Dynamic Message Passing on Graphs
1404. NeurIPS 2024Towards Principled Graph Transformers
1405. NeurIPS 2024Towards the Dynamics of a DNN Learning Symbolic Interactions
1406. NeurIPS 2024Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration
1407. NeurIPS 2024Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
1408. NeurIPS 2024Transductive Learning is Compact
1409. NeurIPS 2024Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
1410. NeurIPS 2024UGC: Universal Graph Coarsening
1411. NeurIPS 2024UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training
1412. NeurIPS 2024Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
1413. NeurIPS 2024Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
1414. NeurIPS 2024Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles
1415. NeurIPS 2024Unitary Convolutions for Learning on Graphs and Groups
1416. NeurIPS 2024UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction
1417. NeurIPS 2024Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
1418. NeurIPS 2024VeXKD: The Versatile Integration of Cross-Modal Fusion and Knowledge Distillation for 3D Perception
1419. NeurIPS 2024Visual Data Diagnosis and Debiasing with Concept Graphs
1420. NeurIPS 2024VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
1421. NeurIPS 2024Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
1422. NeurIPS 2024WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark
1423. NeurIPS 2024Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
1424. NeurIPS 2024What do Graph Neural Networks learn? Insights from Tropical Geometry
1425. NeurIPS 2024WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
1426. NeurIPS 2024WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
1427. NeurIPS 2024WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
1428. NeurIPS 2024xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
1429. CVPR 20233D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud
1430. CVPR 2023A Unified Knowledge Distillation Framework for Deep Directed Graphical Models
1431. CVPR 2023A-Cap: Anticipation Captioning With Commonsense Knowledge
1432. CVPR 2023Advancing Visual Grounding With Scene Knowledge: Benchmark and Method
1433. CVPR 2023AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
1434. CVPR 2023BASiS: Batch Aligned Spectral Embedding Space
1435. CVPR 2023CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection
1436. CVPR 2023Class Attention Transfer Based Knowledge Distillation
1437. CVPR 2023Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching
1438. CVPR 2023Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation
1439. CVPR 2023DaFKD: Domain-Aware Federated Knowledge Distillation
1440. CVPR 2023Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint
1441. CVPR 2023Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning
1442. CVPR 2023Deep Graph Reprogramming
1443. CVPR 2023Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection
1444. CVPR 2023DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning
1445. CVPR 2023EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets
1446. CVPR 2023ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer
1447. CVPR 2023FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs
1448. CVPR 2023From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm
1449. CVPR 2023Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
1450. CVPR 2023HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models

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.