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

172 papers, page 2 of 4

51. ICLR 2025GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks
52. ICLR 2025GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning
53. ICLR 2025Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach
54. ICLR 2025Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
55. ICLR 2025Graph Neural Networks Can (Often) Count Substructures
56. ICLR 2025Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
57. ICLR 2025Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective
58. ICLR 2025Graph Sparsification via Mixture of Graphs
59. ICLR 2025Graph Transformers Dream of Electric Flow
60. ICLR 2025GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
61. ICLR 2025GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation
62. ICLR 2025GraphRouter: A Graph-based Router for LLM Selections
63. ICLR 2025Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
64. ICLR 2025Grounding Continuous Representations in Geometry: Equivariant Neural Fields
65. ICLR 2025Gyrogroup Batch Normalization
66. ICLR 2025HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
67. ICLR 2025Higher-Order Graphon Neural Networks: Approximation and Cut Distance
68. ICLR 2025Homomorphism Counts as Structural Encodings for Graph Learning
69. ICLR 2025Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
70. ICLR 2025How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
71. ICLR 2025Improving Equivariant Networks with Probabilistic Symmetry Breaking
72. ICLR 2025Improving Graph Neural Networks by Learning Continuous Edge Directions
73. ICLR 2025Improving Neural Network Accuracy by Concurrently Training with a Twin Network
74. ICLR 2025In-Context Editing: Learning Knowledge from Self-Induced Distributions
75. ICLR 2025INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
76. ICLR 2025INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph
77. ICLR 2025Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs
78. ICLR 2025Joint Graph Rewiring and Feature Denoising via Spectral Resonance
79. ICLR 2025KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
80. ICLR 2025KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
81. ICLR 2025KBLaM: Knowledge Base augmented Language Model
82. ICLR 2025KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
83. ICLR 2025Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition
84. ICLR 2025Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models
85. ICLR 2025Knowledge Localization: Mission Not Accomplished? Enter Query Localization!
86. ICLR 2025KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks
87. ICLR 2025Large Scale Knowledge Washing
88. ICLR 2025LASER: A Neuro-Symbolic Framework for Learning Spatio-Temporal Scene Graphs with Weak Supervision
89. ICLR 2025Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
90. ICLR 2025Learning Efficient Positional Encodings with Graph Neural Networks
91. ICLR 2025Learning Graph Invariance by Harnessing Spuriosity
92. ICLR 2025Learning Graph Quantized Tokenizers
93. ICLR 2025Learning Long Range Dependencies on Graphs via Random Walks
94. ICLR 2025Learning Partial Graph Matching via Optimal Partial Transport
95. ICLR 2025Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
96. ICLR 2025Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting
97. ICLR 2025Linear Transformer Topological Masking with Graph Random Features
98. ICLR 2025LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases
99. ICLR 2025Logical Consistency of Large Language Models in Fact-Checking
100. ICLR 2025MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural 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.