Graph Neural Networks papers, 2023–2026

Key findings

• Graph Neural Networks fell from 434 papers in 2023 to 183 in 2026, so interest is cooling.
• NeurIPS publishes the most Graph Neural Networks work: 489 papers from 2023 to 2026, 47% of the four-venue total.
• The fastest-growing overlap is with Datasets and Benchmarks: papers tagged with both rose from 10 in 2023 to 10 in 2026.
• Among the 5 topics under Graph and Structured Data, it ranks #4 by 2026 paper count; the fastest grower in the group, Time Series, is up 3.2x versus 0.4x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Differentiable 3D Scene Graph Metric via Contextual Hellinger Triplet Geometry
• ICML 2026Aitchison Embeddings for Learning Compositional Graph Representations
• ICLR 2026Certified Evaluation of Model-Level Explanations for Graph Neural Networks
• CVPR 2026Gamba Mamba-based graph convolutional network with dynamic graph topology learning
• NeurIPS 2025Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
• ICML 2025Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts
• ICLR 2025Edge Prompt Tuning for Graph Neural Networks
• CVPR 2025Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
• NeurIPS 2024[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"
• ICML 2024A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
• ICLR 2024Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
• CVPR 2024FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
• NeurIPS 2023[Re] On Explainability of Graph Neural Networks via Subgraph Explorations
• ICML 2023Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering
• ICLR 2023$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks
• CVPR 2023Adversarially Robust Neural Architecture Search for Graph Neural Networks
• NeurIPS 2026A Topological Encoder Decoder Framework for Temporal Graph Learning
• ICML 2026Any-dimensional invariant universality
• ICLR 2026Laplacian Kernelized Bandit
• CVPR 2026Global-Aware Edge Prioritization for Pose Graph Initialization

All Graph Neural Networks papers

75 papers, page 1 of 2

1. NeurIPS 2025$\texttt{STRCMP}$: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization
2. NeurIPS 2025A CLT for Polynomial GNNs on Community-Based Graphs
3. NeurIPS 2025Adjusted Count Quantification Learning on Graphs
4. NeurIPS 2025An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph
5. NeurIPS 2025Association-Focused Path Aggregation for Graph Fraud Detection
6. NeurIPS 2025Bridging Theory and Practice in Link Representation with Graph Neural Networks
7. NeurIPS 2025Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
8. NeurIPS 2025Depth-Width Tradeoffs for Transformers on Graph Tasks
9. NeurIPS 2025DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction
10. NeurIPS 2025Effects of Dropout on Performance in Long-range Graph Learning Tasks
11. NeurIPS 2025Enforcing convex constraints in Graph Neural Networks
12. NeurIPS 2025Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
13. NeurIPS 2025Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game
14. NeurIPS 2025FoGE: Fock Space inspired encoding for graph prompting
15. NeurIPS 2025GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy
16. NeurIPS 2025Generative Graph Pattern Machine
17. NeurIPS 2025Geometric Logit Decoupling for Energy-Based Graph Out-of-distribution Detection
18. NeurIPS 2025Geometry-Aware Edge Pooling for Graph Neural Networks
19. NeurIPS 2025GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability
20. NeurIPS 2025Graph Alignment via Birkhoff Relaxation
21. NeurIPS 2025Graph Data Selection for Domain Adaptation: A Model-Free Approach
22. NeurIPS 2025Graph Neural Network Based Action Ranking for Planning
23. NeurIPS 2025Graph Persistence goes Spectral
24. NeurIPS 2025Graph Your Own Prompt
25. NeurIPS 2025Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
26. NeurIPS 2025GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining
27. NeurIPS 2025GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data
28. NeurIPS 2025GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
29. NeurIPS 2025HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
30. NeurIPS 2025Hierarchical Shortest-Path Graph Kernel Network
31. NeurIPS 2025Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings
32. NeurIPS 2025How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective
33. NeurIPS 2025HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling
34. NeurIPS 2025Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
35. NeurIPS 2025Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models
36. NeurIPS 2025Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives
37. NeurIPS 2025Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization
38. NeurIPS 2025Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness–Generalization Perspective
39. NeurIPS 2025MaNGO — Adaptable Graph Network Simulators via Meta-Learning
40. NeurIPS 2025Memorization in Graph Neural Networks
41. NeurIPS 2025Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants
42. NeurIPS 2025NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis
43. NeurIPS 2025On Logic-based Self-Explainable Graph Neural Networks
44. NeurIPS 2025On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective
45. NeurIPS 2025On topological descriptors for graph products
46. NeurIPS 2025Optimal Graph Clustering without Edge Density Signals
47. NeurIPS 2025Over-squashing in Spatiotemporal Graph Neural Networks
48. NeurIPS 2025ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks
49. NeurIPS 2025Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization
50. NeurIPS 2025Pseudo-Riemannian Graph Transformer

FAQ

How many Graph Neural Networks papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,038 in total: 434 in 2023, 208 in 2024, 213 in 2025, 183 in 2026.

How many Graph Neural Networks papers are at NeurIPS 2026?

NeurIPS 2026 has 74 Graph Neural Networks papers, versus 75 the year before.

How many Graph Neural Networks papers are at ICLR 2026?

ICLR 2026 has 28 Graph Neural Networks papers, versus 45 the year before.

How many Graph Neural Networks papers are at ICML 2026?

ICML 2026 has 68 Graph Neural Networks papers, versus 81 the year before.

How many Graph Neural Networks papers are at CVPR 2026?

CVPR 2026 has 13 Graph Neural Networks papers, versus 12 the year before.

Which conference publishes the most Graph Neural Networks papers?

NeurIPS, with 489 papers from 2023 to 2026.