17 citations · 24 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 7 cited
Geometric graphs from data to aid classification tasks with graph convolutional networks
Yifan Qian, Paul Expert, Pietro Panzarasa +1
Traditional classification tasks learn to assign samples to given classes based solely on sample features. This paradigm is evolving to include other sources of information, such a…
cs.LG2019★ 17 cited
Quantifying the Alignment of Graph and Features in Deep Learning
Yifan Qian, Paul Expert, Tom Rieu +2
We show that the classification performance of graph convolutional networks (GCNs) is related to the alignment between features, graph, and ground truth, which we quantify using a…