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

213 papers, page 1 of 5

1. CVPR 2025Attribute-Missing Multi-view Graph Clustering
2. CVPR 2025Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
3. CVPR 2025Consistent Normal Orientation for 3D Point Clouds via Least Squares on Delaunay Graph
4. CVPR 2025Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
5. CVPR 2025End-to-End HOI Reconstruction Transformer with Graph-based Encoding
6. CVPR 2025FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity
7. CVPR 2025GG-SSMs: Graph-Generating State Space Models
8. CVPR 2025GLane3D: Detecting Lanes with Graph of 3D Keypoints
9. CVPR 2025MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images
10. CVPR 2025Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
11. CVPR 2025NN-Former: Rethinking Graph Structure in Neural Architecture Representation
12. CVPR 2025Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
13. ICLR 2025Biologically Plausible Brain Graph Transformer
14. ICLR 2025Bonsai: Gradient-free Graph Condensation for Node Classification
15. ICLR 2025Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing
16. ICLR 2025DUALFormer: Dual Graph Transformer
17. ICLR 2025Edge Prompt Tuning for Graph Neural Networks
18. ICLR 2025Exact Certification of (Graph) Neural Networks Against Label Poisoning
19. ICLR 2025Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
20. ICLR 2025Factor Graph-based Interpretable Neural Networks
21. ICLR 2025GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
22. ICLR 2025GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning
23. ICLR 2025GRAIN: Exact Graph Reconstruction from Gradients
24. ICLR 2025Graph Neural Networks Can (Often) Count Substructures
25. ICLR 2025Graph Neural Networks Gone Hogwild
26. ICLR 2025Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective
27. ICLR 2025Graph Sparsification via Mixture of Graphs
28. ICLR 2025Graph Transformers Dream of Electric Flow
29. ICLR 2025Homomorphism Counts as Structural Encodings for Graph Learning
30. ICLR 2025Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
31. ICLR 2025IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
32. ICLR 2025Improving Graph Neural Networks by Learning Continuous Edge Directions
33. ICLR 2025KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
34. ICLR 2025Learning Efficient Positional Encodings with Graph Neural Networks
35. ICLR 2025Learning Equivariant Non-Local Electron Density Functionals
36. ICLR 2025Learning Graph Invariance by Harnessing Spuriosity
37. ICLR 2025Learning Graph Quantized Tokenizers
38. ICLR 2025Learning Long Range Dependencies on Graphs via Random Walks
39. ICLR 2025Learning Partial Graph Matching via Optimal Partial Transport
40. ICLR 2025Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting
41. ICLR 2025MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
42. ICLR 2025Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
43. ICLR 2025On the Completeness of Invariant Geometric Deep Learning Models
44. ICLR 2025On the Hölder Stability of Multiset and Graph Neural Networks
45. ICLR 2025PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
46. ICLR 2025Precedence-Constrained Winter Value for Effective Graph Data Valuation
47. ICLR 2025Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features
48. ICLR 2025Scale-Free Graph-Language Models
49. ICLR 2025Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
50. ICLR 2025SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs

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.