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

426 papers, page 2 of 9

51. ICLR 2024A Characterization Theorem for Equivariant Networks with Point-wise Activations
52. ICLR 2024A Differentially Private Clustering Algorithm for Well-Clustered Graphs
53. ICLR 2024A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
54. ICLR 2024A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs
55. ICLR 2024A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
56. ICLR 2024Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
57. ICLR 2024Approximately Piecewise E(3) Equivariant Point Networks
58. ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
59. ICLR 2024Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
60. ICLR 2024BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
61. ICLR 2024Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective
62. ICLR 2024Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
63. ICLR 2024Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
64. ICLR 2024Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
65. ICLR 2024Clifford Group Equivariant Simplicial Message Passing Networks
66. ICLR 2024Confidential-DPproof: Confidential Proof of Differentially Private Training
67. ICLR 2024Conformal Inductive Graph Neural Networks
68. ICLR 2024Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
69. ICLR 2024Constraint-Free Structure Learning with Smooth Acyclic Orientations
70. ICLR 2024CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs
71. ICLR 2024Counting Graph Substructures with Graph Neural Networks
72. ICLR 2024Deceptive Fairness Attacks on Graphs via Meta Learning
73. ICLR 2024Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
74. ICLR 2024DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
75. ICLR 2024DistillSpec: Improving Speculative Decoding via Knowledge Distillation
76. ICLR 2024Effective Structural Encodings via Local Curvature Profiles
77. ICLR 2024Efficient Subgraph GNNs by Learning Effective Selection Policies
78. ICLR 2024Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
79. ICLR 2024Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
80. ICLR 2024Faithful Rule Extraction for Differentiable Rule Learning Models
81. ICLR 2024Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
82. ICLR 2024Forward Learning of Graph Neural Networks
83. ICLR 2024FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction
84. ICLR 2024From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
85. ICLR 2024From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
86. ICLR 2024General Graph Random Features
87. ICLR 2024GeoLLM: Extracting Geospatial Knowledge from Large Language Models
88. ICLR 2024GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
89. ICLR 2024Graph Lottery Ticket Automated
90. ICLR 2024Graph Metanetworks for Processing Diverse Neural Architectures
91. ICLR 2024Graph Neural Networks for Learning Equivariant Representations of Neural Networks
92. ICLR 2024Graph Parsing Networks
93. ICLR 2024GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
94. ICLR 2024Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
95. ICLR 2024HoloNets: Spectral Convolutions do extend to Directed Graphs
96. ICLR 2024Hybrid Directional Graph Neural Network for Molecules
97. ICLR 2024InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
98. ICLR 2024Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
99. ICLR 2024Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
100. ICLR 2024Knowledge Distillation Based on Transformed Teacher Matching

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.