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Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking

international conference on learning representations, (2018)

Cited by: 155|Views18
EI

Abstract

Methods that learn representations of graph nodes play a critical role in network analysis since they enable many downstream learning tasks. We propose Graph2Gauss -- an approach that can efficiently learn versatile node embeddings on large scale (attributed) graphs that show strong performance on tasks such as link prediction and node cl...More

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