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Found 3 papers, 2 papers with code
GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation
Vision Transformers (ViTs) have revolutionized the field of computer vision, yet their deployments on resource-constrained devices remain challenging due to high computational demands.
Ranked #185 on
Image Classification
on ImageNet
Decoupled Graph Neural Networks for Large Dynamic Graphs
The experimental results demonstrate that our algorithm achieves state-of-the-art performance in both kinds of dynamic graphs.
Instant Graph Neural Networks for Dynamic Graphs
With the development of numerous GNN variants, recent years have witnessed groundbreaking results in improving the scalability of GNNs to work on static graphs with millions of nodes.
