11 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
GPS: A Policy-driven Sampling Approach for Graph Representation Learning
Tiehua Zhang, Yuze Liu, Xin Chen +3
Graph representation learning has drawn increasing attention in recent years, especially for learning the low dimensional embedding at both node and graph level for classification…
cs.LG2021★ 11 cited
STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks
Guannan Lou, Yuze Liu, Tiehua Zhang +1
We present a spatial-temporal federated learning framework for graph neural networks, namely STFL. The framework explores the underlying correlation of the input spatial-temporal d…