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

153 papers, page 3 of 4

101. NeurIPS 2024Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
102. NeurIPS 2024Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust
103. NeurIPS 2024ProG: A Graph Prompt Learning Benchmark
104. NeurIPS 2024Pruning neural network models for gene regulatory dynamics using data and domain knowledge
105. NeurIPS 2024Reasons and Solutions for the Decline in Model Performance after Editing
106. NeurIPS 2024Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
107. NeurIPS 2024Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
108. NeurIPS 2024Right this way: Can VLMs Guide Us to See More to Answer Questions?
109. NeurIPS 2024Robust Offline Active Learning on Graphs
110. NeurIPS 2024RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
111. NeurIPS 2024S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
112. NeurIPS 2024Sample Efficient Bayesian Learning of Causal Graphs from Interventions
113. NeurIPS 2024Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data
114. NeurIPS 2024SIRIUS : Contexual Sparisty with Correction for Efficient LLMs
115. NeurIPS 2024Spatio-Spectral Graph Neural Networks
116. NeurIPS 2024Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
117. NeurIPS 2024Spiking Graph Neural Network on Riemannian Manifolds
118. NeurIPS 2024STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
119. NeurIPS 2024State Space Models on Temporal Graphs: A First-Principles Study
120. NeurIPS 2024Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification
121. NeurIPS 2024Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection
122. NeurIPS 2024Supra-Laplacian Encoding for Transformer on Dynamic Graphs
123. NeurIPS 2024Tackling Uncertain Correspondences for Multi-Modal Entity Alignment
124. NeurIPS 2024TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
125. NeurIPS 2024Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction
126. NeurIPS 2024TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
127. NeurIPS 2024Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
128. NeurIPS 2024Towards Dynamic Message Passing on Graphs
129. NeurIPS 2024Towards Principled Graph Transformers
130. NeurIPS 2024Towards the Dynamics of a DNN Learning Symbolic Interactions
131. NeurIPS 2024Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration
132. NeurIPS 2024Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
133. NeurIPS 2024Transductive Learning is Compact
134. NeurIPS 2024Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
135. NeurIPS 2024UGC: Universal Graph Coarsening
136. NeurIPS 2024UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training
137. NeurIPS 2024Unified Graph Augmentations for Generalized Contrastive Learning on Graphs
138. NeurIPS 2024Unifying Generation and Prediction on Graphs with Latent Graph Diffusion
139. NeurIPS 2024Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles
140. NeurIPS 2024Unitary Convolutions for Learning on Graphs and Groups
141. NeurIPS 2024UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction
142. NeurIPS 2024Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs
143. NeurIPS 2024VeXKD: The Versatile Integration of Cross-Modal Fusion and Knowledge Distillation for 3D Perception
144. NeurIPS 2024Visual Data Diagnosis and Debiasing with Concept Graphs
145. NeurIPS 2024VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
146. NeurIPS 2024Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
147. NeurIPS 2024WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark
148. NeurIPS 2024Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
149. NeurIPS 2024What do Graph Neural Networks learn? Insights from Tropical Geometry
150. NeurIPS 2024WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia

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.