Network—feature dependencies using graph convolutional auto-encoders
Sébastien Lerique, Jacobo Levy-Abitbol, Márton Karsai & Éric Fleury
IXXI, École Normale Supérieure de Lyon
network—feature dependencies
Congruent
Incongruent
Socio-economic status
Language style
Topics
Network structure
25%
francophone
GMT/GMT+1
Sociolinguistics
GCN + Auto-encoders = 🎉💖🎉
node features
embedding
GCN
node features
adjacency matrix
Socio-economic status
Language style
Topics
Socio-economic status
Language style
Topics
Compressed & combined representation of nodes + network
Kipf & Welling (2016)
How is this useful
a.k.a., questions we can (will be able to) ask
how much can we compress network + features
(down to what dimension)
how well does feature set 1 + network structure predict feature set 2
(and how much does network structure help in predicting)
→ relative importance of network/feature in predicting links or clusters
Socioeconomic status
Language style
Speculation