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Louis Béthune, Yacouba Kaloga, Pierre Borgnat, Aurélien Garivier and Amaury Habrard
We propose a novel algorithm for unsupervised graph representation learning with attributed graphs. It combines three advantages addressing some current limitations of the literature: (i) The model is inductive: it can embed new graphs without re-trainin...
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