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

49 papers, page 1 of 1

1. CVPR 2026Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization
2. CVPR 2026BrickNet Graph-Backed Generative Brick Assembly
3. CVPR 2026Dual Graph Regularized Deep Unfolding Network for Guided Depth Map
4. CVPR 2026FedSST Rethinking Fair Federated Graph Learning under Structural Shift
5. CVPR 2026Gamba Mamba-based graph convolutional network with dynamic graph topology learning
6. CVPR 2026Global-Aware Edge Prioritization for Pose Graph Initialization
7. CVPR 2026GraPHFormer A Multimodal Graph Persistent Homology Transformer for the Analysis
8. CVPR 2026GSNR Graph Smooth Null-Space Representation for Inverse Problems
9. CVPR 2026Learning Scene Coordinate Reconstruction from Unposed Images via Pose Graph
10. CVPR 2026R2G A Multi-View Circuit Graph Benchmark Suite from RTL to
11. CVPR 2026Solvability of the Viewing Graph Under the Affine Camera Model
12. CVPR 2026Variational Graph-based Normal Integration
13. CVPR 2026Virtual Nodes Guided Dynamic Graph Neural Network for Brain Tumor
14. CVPR 2025Attribute-Missing Multi-view Graph Clustering
15. CVPR 2025Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
16. CVPR 2025Consistent Normal Orientation for 3D Point Clouds via Least Squares on Delaunay Graph
17. CVPR 2025Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
18. CVPR 2025End-to-End HOI Reconstruction Transformer with Graph-based Encoding
19. CVPR 2025FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity
20. CVPR 2025GG-SSMs: Graph-Generating State Space Models
21. CVPR 2025GLane3D: Detecting Lanes with Graph of 3D Keypoints
22. CVPR 2025MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images
23. CVPR 2025Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
24. CVPR 2025NN-Former: Rethinking Graph Structure in Neural Architecture Representation
25. CVPR 2025Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
26. CVPR 2024Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning
27. CVPR 2024DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
28. CVPR 2024FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
29. CVPR 2024GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
30. CVPR 2024HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models
31. CVPR 2024Learning Structure-from-Motion with Graph Attention Networks
32. CVPR 2023Adaptive Graph Convolutional Subspace Clustering
33. CVPR 2023Adversarially Robust Neural Architecture Search for Graph Neural Networks
34. CVPR 2023An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity
35. CVPR 2023Deep Graph Reprogramming
36. CVPR 2023Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration
37. CVPR 2023Deep Learning of Partial Graph Matching via Differentiable Top-K
38. CVPR 2023Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation
39. CVPR 2023High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
40. CVPR 2023Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering
41. CVPR 2023Incremental 3D Semantic Scene Graph Prediction From RGB Sequences
42. CVPR 2023Mind the Label Shift of Augmentation-Based Graph OOD Generalization
43. CVPR 2023Robust 3D Shape Classification via Non-Local Graph Attention Network
44. CVPR 2023Sample-Level Multi-View Graph Clustering
45. CVPR 2023TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images
46. CVPR 2023Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement
47. CVPR 2023TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification
48. CVPR 2023Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks
49. CVPR 2023VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation

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.