Graph Neural Networks
5,491 papers
Papers per year
3
1
1
3
7
4
3
2
13
23
66
348
550
686
703
817
962
904
395
'10
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'25
Papers
NN-Former: Rethinking Graph Structure in Neural Architecture Representation
CVPR 2025
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
ICLR 2025
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning
AAAI 2025
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising
AAAI 2025
Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation
AAAI 2025
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
AAAI 2025
On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation
ICLR 2025
OneForecast: A Universal Framework for Global and Regional Weather Forecasting
ICML 2025
One Node One Model: Featuring the Missing-Half for Graph Clustering
AAAI 2025
On Explaining Equivariant Graph Networks via Improved Relevance Propagation
ICML 2025
Online Laplacian-Based Representation Learning in Reinforcement Learning
ICML 2025
On Measuring Long-Range Interactions in Graph Neural Networks
ICML 2025
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
AAAI 2025
On the Completeness of Invariant Geometric Deep Learning Models
ICLR 2025
On the Expressive Power of Sparse Geometric MPNNs
ICLR 2025
On the Hölder Stability of Multiset and Graph Neural Networks
ICLR 2025
On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks
ICML 2025
On the Relationship Between Robustness and Expressivity of Graph Neural Networks
AISTATS 2025
Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment
AAAI 2025
Open-Set Graph Anomaly Detection via Normal Structure Regularisation
ICLR 2025
Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction
ICML 2025
ORID: Organ-Regional Information Driven Framework for Radiology Report Generation
WACV 2025
Orthogonal Bases for Equivariant Graph Learning with Provable k-WL Expressive Power
JMLR 2025
OS-GCL: A One-Shot Learner in Graph Contrastive Learning
IJCAI 2025
Out-of-Distribution Generalization on Graphs via Progressive Inference
AAAI 2025