19 citations · 21 across the 4 of their papers we have counts for
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cs.LG2021
Graph2Graph Learning with Conditional Autoregressive Models
Guan Wang, Francois Bernard Lauze, Aasa Feragen
We present a graph neural network model for solving graph-to-graph learning problems. Most deep learning on graphs considers ``simple'' problems such as graph classification or reg…
cs.LG2019★ 19 cited
Interpret Federated Learning with Shapley Values
Guan Wang
Federated Learning is introduced to protect privacy by distributing training data into multiple parties. Each party trains its own model and a meta-model is constructed from the su…