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Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs

Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs

Relational learning aims to make relation inference by exploiting the correlations among different types of entities. Exploring relational learning on multiple bipartite graphs has been receiving attention because of its popular applications such as recommendations. How to make efficient relation inference with few observed links is the main problem on …