Graph Neural Networks

Spatio-Temporal GNNs (21 papers)

Adaptive Mechanisms (2 papers)

Attention Mechanisms (7 papers)

Contrastive Learning (6 papers)

Conjoint Perspective (5 papers)

Differential Equations (16 papers)

Dynamic Mechanisms (7 papers)

Heterogeneous Mechanisms (2 papers)

Hierarchical Mechanisms (1 paper)

Frequency Domain (1 paper)

Multi-Granularity (2 papers)

Periodic/Aperiodic Mechanisms (2 papers)

Pretrained Local Augmentation (1 paper)

Residual Mechanisms (1 paper)

Out of Distribution (1 paper)

Uncertainty Quantification (2 papers)

Variational Mechanisms (1 paper)

Long-Term Mechanisms (2 papers)

Low-complexity Algorithms (5 papers)

Missing Data (5 papers) 

Continual Learning (1 paper)

Reinforcement Learning (1 paper)

Transfer Learning (7 papers)

Scaling GNNs (2 papers)

Self-Supervised Learning (1 paper)

Multi-Graph/Hypergraph (3 papers)

Event-based Cameras (1 paper)