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

1,715 papers, page 34 of 35

1651. NeurIPS 2023Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
1652. NeurIPS 2023Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
1653. NeurIPS 2023Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
1654. NeurIPS 2023Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs
1655. NeurIPS 2023Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization
1656. NeurIPS 2023Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
1657. NeurIPS 2023Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
1658. NeurIPS 2023Evaluating Self-Supervised Learning for Molecular Graph Embeddings
1659. NeurIPS 2023Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing
1660. NeurIPS 2023Expressivity-Preserving GNN Simulation
1661. NeurIPS 2023Fast Approximation of Similarity Graphs with Kernel Density Estimation
1662. NeurIPS 2023Fine-grained Expressivity of Graph Neural Networks
1663. NeurIPS 2023Fitting trees to $\ell_1$-hyperbolic distances
1664. NeurIPS 2023Fragment-based Pretraining and Finetuning on Molecular Graphs
1665. NeurIPS 2023From Trainable Negative Depth to Edge Heterophily in Graphs
1666. NeurIPS 2023Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
1667. NeurIPS 2023Geometric Analysis of Matrix Sensing over Graphs
1668. NeurIPS 2023GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels
1669. NeurIPS 2023Grounding Neural Inference with Satisfiability Modulo Theories
1670. NeurIPS 2023HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding
1671. NeurIPS 2023How to Turn Your Knowledge Graph Embeddings into Generative Models
1672. NeurIPS 2023Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network
1673. NeurIPS 2023Improving the Knowledge Gradient Algorithm
1674. NeurIPS 2023Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy
1675. NeurIPS 2023KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
1676. NeurIPS 2023Kernelized Cumulants: Beyond Kernel Mean Embeddings
1677. NeurIPS 2023Knowledge Diffusion for Distillation
1678. NeurIPS 2023Knowledge Distillation for High Dimensional Search Index
1679. NeurIPS 2023Knowledge Distillation Performs Partial Variance Reduction
1680. NeurIPS 2023Latent Field Discovery in Interacting Dynamical Systems with Neural Fields
1681. NeurIPS 2023LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings
1682. NeurIPS 2023Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion
1683. NeurIPS 2023Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction
1684. NeurIPS 2023Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition
1685. NeurIPS 2023LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
1686. NeurIPS 2023Limits, approximation and size transferability for GNNs on sparse graphs via graphops
1687. NeurIPS 2023Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT
1688. NeurIPS 2023NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
1689. NeurIPS 2023On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data
1690. NeurIPS 2023On Learning Necessary and Sufficient Causal Graphs
1691. NeurIPS 2023One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
1692. NeurIPS 2023Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
1693. NeurIPS 2023Optimality of Message-Passing Architectures for Sparse Graphs
1694. NeurIPS 2023PlanE: Representation Learning over Planar Graphs
1695. NeurIPS 2023Practical Contextual Bandits with Feedback Graphs
1696. NeurIPS 2023PRODIGY: Enabling In-context Learning Over Graphs
1697. NeurIPS 2023Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
1698. NeurIPS 2023RECKONING: Reasoning through Dynamic Knowledge Encoding
1699. NeurIPS 2023SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
1700. NeurIPS 2023Statistical Knowledge Assessment for Large Language Models

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.