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 13 of 35

601. ICLR 2025CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
602. ICLR 2025ContextGNN: Beyond Two-Tower Recommendation Systems
603. ICLR 2025Contextualizing biological perturbation experiments through language
604. ICLR 2025Coreset Spectral Clustering
605. ICLR 2025Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
606. ICLR 2025Decoupled Subgraph Federated Learning
607. ICLR 2025Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing
608. ICLR 2025DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks
609. ICLR 2025Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
610. ICLR 2025DUALFormer: Dual Graph Transformer
611. ICLR 2025E(n) Equivariant Topological Neural Networks
612. ICLR 2025Edge Prompt Tuning for Graph Neural Networks
613. ICLR 2025Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models
614. ICLR 2025Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
615. ICLR 2025Exact Certification of (Graph) Neural Networks Against Label Poisoning
616. ICLR 2025Explanations of GNN on Evolving Graphs via Axiomatic Layer edges
617. ICLR 2025Fourier Sliced-Wasserstein Embedding for Multisets and Measures
618. ICLR 2025From an LLM Swarm to a PDDL-empowered Hive: Planning Self-executed Instructions in a Multi-modal Jungle
619. ICLR 2025From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
620. ICLR 2025From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering
621. ICLR 2025Fully-inductive Node Classification on Arbitrary Graphs
622. ICLR 2025Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
623. ICLR 2025Generalizing Weisfeiler-Lehman Kernels to Subgraphs
624. ICLR 2025Generating Graphs via Spectral Diffusion
625. ICLR 2025GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
626. ICLR 2025GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs
627. ICLR 2025GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
628. ICLR 2025GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks
629. ICLR 2025GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning
630. ICLR 2025Grammar Reinforcement Learning: path and cycle counting in graphs with a Context-Free Grammar and Transformer approach
631. ICLR 2025Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
632. ICLR 2025Graph Neural Networks Can (Often) Count Substructures
633. ICLR 2025Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
634. ICLR 2025Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective
635. ICLR 2025Graph Sparsification via Mixture of Graphs
636. ICLR 2025Graph Transformers Dream of Electric Flow
637. ICLR 2025GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
638. ICLR 2025GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation
639. ICLR 2025GraphRouter: A Graph-based Router for LLM Selections
640. ICLR 2025Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
641. ICLR 2025Grounding Continuous Representations in Geometry: Equivariant Neural Fields
642. ICLR 2025Gyrogroup Batch Normalization
643. ICLR 2025HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models
644. ICLR 2025Higher-Order Graphon Neural Networks: Approximation and Cut Distance
645. ICLR 2025Homomorphism Counts as Structural Encodings for Graph Learning
646. ICLR 2025Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
647. ICLR 2025How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
648. ICLR 2025Improving Equivariant Networks with Probabilistic Symmetry Breaking
649. ICLR 2025Improving Graph Neural Networks by Learning Continuous Edge Directions
650. ICLR 2025Improving Neural Network Accuracy by Concurrently Training with a Twin Network

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.