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

287 papers, page 2 of 6

51. CVPR 2023REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory
52. CVPR 2023ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector
53. CVPR 2023Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture
54. CVPR 2023Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances
55. CVPR 2023SmartAssign: Learning a Smart Knowledge Assignment Strategy for Deraining and Desnowing
56. CVPR 2023StructVPR: Distill Structural Knowledge With Weighting Samples for Visual Place Recognition
57. CVPR 2023Text With Knowledge Graph Augmented Transformer for Video Captioning
58. CVPR 2023Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution
59. CVPR 2023UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
60. CVPR 2023Weak-Shot Object Detection Through Mutual Knowledge Transfer
61. CVPR 2023X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection
62. ICLR 2023A Differential Geometric View and Explainability of GNN on Evolving Graphs
63. ICLR 2023A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
64. ICLR 2023A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
65. ICLR 2023AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks
66. ICLR 2023Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation
67. ICLR 2023Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
68. ICLR 2023Characterizing the Influence of Graph Elements
69. ICLR 2023Composing Task Knowledge With Modular Successor Feature Approximators
70. ICLR 2023Confidence-Based Feature Imputation for Graphs with Partially Known Features
71. ICLR 2023Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
72. ICLR 2023Dataless Knowledge Fusion by Merging Weights of Language Models
73. ICLR 2023DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing
74. ICLR 2023DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases
75. ICLR 2023Deep Ensembles for Graphs with Higher-order Dependencies
76. ICLR 2023Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
77. ICLR 2023Discovering Latent Knowledge in Language Models Without Supervision
78. ICLR 2023Dual Algorithmic Reasoning
79. ICLR 2023Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
80. ICLR 2023Explaining Temporal Graph Models through an Explorer-Navigator Framework
81. ICLR 2023ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion
82. ICLR 2023Fair Attribute Completion on Graph with Missing Attributes
83. ICLR 2023Function-Consistent Feature Distillation
84. ICLR 2023GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
85. ICLR 2023Gradient Boosting Performs Gaussian Process Inference
86. ICLR 2023Gradient Gating for Deep Multi-Rate Learning on Graphs
87. ICLR 2023Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
88. ICLR 2023Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
89. ICLR 2023HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
90. ICLR 2023IDEAL: Query-Efficient Data-Free Learning from Black-Box Models
91. ICLR 2023KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP
92. ICLR 2023Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
93. ICLR 2023Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
94. ICLR 2023Latent Graph Inference using Product Manifolds
95. ICLR 2023Learnable Graph Convolutional Attention Networks
96. ICLR 2023Learning Fair Graph Representations via Automated Data Augmentations
97. ICLR 2023Learning Hierarchical Protein Representations via Complete 3D Graph Networks
98. ICLR 2023Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
99. ICLR 2023Learning on Large-scale Text-attributed Graphs via Variational Inference
100. ICLR 2023Learning Structured Representations by Embedding Class Hierarchy

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.