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 19 of 35

901. NeurIPS 2025FoGE: Fock Space inspired encoding for graph prompting
902. NeurIPS 2025Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge
903. NeurIPS 2025From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning
904. NeurIPS 2025Graph Diffusion that can Insert and Delete
905. NeurIPS 2025Graph Persistence goes Spectral
906. NeurIPS 2025GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
907. NeurIPS 2025Graphs Help Graphs: Multi-Agent Graph Socialized Learning
908. NeurIPS 2025GRIP: A Graph-Based Reasoning Instruction Producer
909. NeurIPS 2025Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings
910. NeurIPS 2025Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models
911. NeurIPS 2025How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation
912. NeurIPS 2025HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling
913. NeurIPS 2025HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
914. NeurIPS 2025Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point
915. NeurIPS 2025Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation
916. NeurIPS 2025Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning
917. NeurIPS 2025K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling
918. NeurIPS 2025KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
919. NeurIPS 2025KGGen: Extracting Knowledge Graphs from Plain Text with Language Models
920. NeurIPS 2025KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
921. NeurIPS 2025Knowledge Distillation of Uncertainty using Deep Latent Factor Model
922. NeurIPS 2025Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
923. NeurIPS 2025KScope: A Framework for Characterizing the Knowledge Status of Language Models
924. NeurIPS 2025LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion
925. NeurIPS 2025Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics
926. NeurIPS 2025Learning Task-Agnostic Representations through Multi-Teacher Distillation
927. NeurIPS 2025Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning
928. NeurIPS 2025Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs
929. NeurIPS 2025Localizing Knowledge in Diffusion Transformers
930. NeurIPS 2025Low-degree evidence for computational transition of recovery rate in stochastic block model
931. NeurIPS 2025MemEIC: A Step Toward Continual and Compositional Knowledge Editing
932. NeurIPS 2025Memorization in Graph Neural Networks
933. NeurIPS 2025Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging
934. NeurIPS 2025Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go
935. NeurIPS 2025MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes
936. NeurIPS 2025ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs
937. NeurIPS 2025MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
938. NeurIPS 2025MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation
939. NeurIPS 2025Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs
940. NeurIPS 2025Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning
941. NeurIPS 2025Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
942. NeurIPS 2025Neural Tangent Knowledge Distillation for Optical Convolutional Networks
943. NeurIPS 2025NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval
944. NeurIPS 2025NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference
945. NeurIPS 2025OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration
946. NeurIPS 2025On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
947. NeurIPS 2025On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
948. NeurIPS 2025On the Universal Near Optimality of Hedge in Combinatorial Settings
949. NeurIPS 2025One for All: Universal Topological Primitive Transfer for Graph Structure Learning
950. NeurIPS 2025Optimal community detection in dense bipartite graphs

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.