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What is: Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning?

Year2000
Data SourceCC BY-SA - https://paperswithcode.com

DBGAN is a method for graph representation learning. Instead of the widely used normal distribution assumption, the prior distribution of latent representation in DBGAN is estimated in a structure-aware way, which implicitly bridges the graph and feature spaces by prototype learning.

Source: Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning