most citedSTFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks

11 citations · 12 across the 2 of their papers we have counts for

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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…