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

571 papers, page 9 of 12

401. ICLR 2024Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
402. ICLR 2024Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
403. ICLR 2024Faithful Rule Extraction for Differentiable Rule Learning Models
404. ICLR 2024Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
405. ICLR 2024Forward Learning of Graph Neural Networks
406. ICLR 2024FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction
407. ICLR 2024From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
408. ICLR 2024From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module
409. ICLR 2024General Graph Random Features
410. ICLR 2024GeoLLM: Extracting Geospatial Knowledge from Large Language Models
411. ICLR 2024GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
412. ICLR 2024Graph Lottery Ticket Automated
413. ICLR 2024Graph Metanetworks for Processing Diverse Neural Architectures
414. ICLR 2024Graph Neural Networks for Learning Equivariant Representations of Neural Networks
415. ICLR 2024Graph Parsing Networks
416. ICLR 2024GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
417. ICLR 2024Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
418. ICLR 2024HoloNets: Spectral Convolutions do extend to Directed Graphs
419. ICLR 2024Hybrid Directional Graph Neural Network for Molecules
420. ICLR 2024InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
421. ICLR 2024Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
422. ICLR 2024Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
423. ICLR 2024Knowledge Distillation Based on Transformed Teacher Matching
424. ICLR 2024Knowledge Fusion of Large Language Models
425. ICLR 2024KoLA: Carefully Benchmarking World Knowledge of Large Language Models
426. ICLR 2024KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
427. ICLR 2024Label-free Node Classification on Graphs with Large Language Models (LLMs)
428. ICLR 2024Latent 3D Graph Diffusion
429. ICLR 2024Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
430. ICLR 2024Learning From Simplicial Data Based on Random Walks and 1D Convolutions
431. ICLR 2024Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG
432. ICLR 2024Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
433. ICLR 2024Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
434. ICLR 2024LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
435. ICLR 2024Local Graph Clustering with Noisy Labels
436. ICLR 2024Locality-Aware Graph Rewiring in GNNs
437. ICLR 2024Manifold Diffusion Fields
438. ICLR 2024MiniLLM: Knowledge Distillation of Large Language Models
439. ICLR 2024Mirage: Model-agnostic Graph Distillation for Graph Classification
440. ICLR 2024Mitigating Emergent Robustness Degradation while Scaling Graph Learning
441. ICLR 2024Mixture of Weak and Strong Experts on Graphs
442. ICLR 2024MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy
443. ICLR 2024NetInfoF Framework: Measuring and Exploiting Network Usable Information
444. ICLR 2024Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
445. ICLR 2024Neural Common Neighbor with Completion for Link Prediction
446. ICLR 2024Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries
447. ICLR 2024On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods
448. ICLR 2024On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
449. ICLR 2024On the Stability of Expressive Positional Encodings for Graphs
450. ICLR 2024One For All: Towards Training One Graph Model For All Classification Tasks

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.