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 3 of 6

101. ICLR 2023LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
102. ICLR 2023Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
103. ICLR 2023Logical Message Passing Networks with One-hop Inference on Atomic Formulas
104. ICLR 2023LogicDP: Creating Labels for Graph Data via Inductive Logic Programming
105. ICLR 2023Meta Knowledge Condensation for Federated Learning
106. ICLR 2023Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning
107. ICLR 2023Multimodal Analogical Reasoning over Knowledge Graphs
108. ICLR 2023NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
109. ICLR 2023Neural Compositional Rule Learning for Knowledge Graph Reasoning
110. ICLR 2023NORM: Knowledge Distillation via N-to-One Representation Matching
111. ICLR 2023Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
112. ICLR 2023On Representing Linear Programs by Graph Neural Networks
113. ICLR 2023On Representing Mixed-Integer Linear Programs by Graph Neural Networks
114. ICLR 2023Prompting GPT-3 To Be Reliable
115. ICLR 2023Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning
116. ICLR 2023Relational Attention: Generalizing Transformers for Graph-Structured Tasks
117. ICLR 2023Rethinking the Expressive Power of GNNs via Graph Biconnectivity
118. ICLR 2023Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective
119. ICLR 2023Revisiting Robustness in Graph Machine Learning
120. ICLR 2023Robust Active Distillation
121. ICLR 2023Robust Graph Dictionary Learning
122. ICLR 2023ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs
123. ICLR 2023Scaffolding a Student to Instill Knowledge
124. ICLR 2023Sign and Basis Invariant Networks for Spectral Graph Representation Learning
125. ICLR 2023simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
126. ICLR 2023Spacetime Representation Learning
127. ICLR 2023Specformer: Spectral Graph Neural Networks Meet Transformers
128. ICLR 2023Spectral Augmentation for Self-Supervised Learning on Graphs
129. ICLR 2023Subsampling in Large Graphs Using Ricci Curvature
130. ICLR 2023Supervision Complexity and its Role in Knowledge Distillation
131. ICLR 2023Teacher Guided Training: An Efficient Framework for Knowledge Transfer
132. ICLR 2023The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
133. ICLR 2023The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
134. ICLR 2023TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
135. ICLR 2023Towards Open Temporal Graph Neural Networks
136. ICLR 2023Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
137. ICLR 2023UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
138. ICLR 2023Unveiling the sampling density in non-uniform geometric graphs
139. ICLR 2023Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
140. ICML 2023A Generalization of ViT/MLP-Mixer to Graphs
141. ICML 2023All in a Row: Compressed Convolution Networks for Graphs
142. ICML 2023Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
143. ICML 2023Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process
144. ICML 2023Boosting Graph Contrastive Learning via Graph Contrastive Saliency
145. ICML 2023Causal Bounds in Quasi-Markovian Graphs
146. ICML 2023ClusterFuG: Clustering Fully connected Graphs by Multicut
147. ICML 2023Combinatorial Neural Bandits
148. ICML 2023Dink-Net: Neural Clustering on Large Graphs
149. ICML 2023DRew: Dynamically Rewired Message Passing with Delay
150. ICML 2023E$(n)$ Equivariant Message Passing Simplicial 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.