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

76 papers, page 2 of 2

51. NeurIPS 2023On Learning Necessary and Sufficient Causal Graphs
52. NeurIPS 2023One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
53. NeurIPS 2023Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
54. NeurIPS 2023Optimality of Message-Passing Architectures for Sparse Graphs
55. NeurIPS 2023PlanE: Representation Learning over Planar Graphs
56. NeurIPS 2023Practical Contextual Bandits with Feedback Graphs
57. NeurIPS 2023PRODIGY: Enabling In-context Learning Over Graphs
58. NeurIPS 2023Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
59. NeurIPS 2023RECKONING: Reasoning through Dynamic Knowledge Encoding
60. NeurIPS 2023SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
61. NeurIPS 2023Statistical Knowledge Assessment for Large Language Models
62. NeurIPS 2023Temporal Graph Benchmark for Machine Learning on Temporal Graphs
63. NeurIPS 2023TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph
64. NeurIPS 2023The expressive power of pooling in Graph Neural Networks
65. NeurIPS 2023The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models
66. NeurIPS 2023Thrust: Adaptively Propels Large Language Models with External Knowledge
67. NeurIPS 2023Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation
68. NeurIPS 2023TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
69. NeurIPS 2023Transformers over Directed Acyclic Graphs
70. NeurIPS 2023TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion
71. NeurIPS 2023Uncovering Meanings of Embeddings via Partial Orthogonality
72. NeurIPS 2023UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction
73. NeurIPS 2023Variational Annealing on Graphs for Combinatorial Optimization
74. NeurIPS 2023Video-Mined Task Graphs for Keystep Recognition in Instructional Videos
75. NeurIPS 2023What Knowledge Gets Distilled in Knowledge Distillation?
76. NeurIPS 2023XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information

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.