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Showing 1 to 2 of 2 for “"Link predictions"”.
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Scalable subgraph representation learning through simplification
Link prediction on graphs is a fundamental problem. Subgraph representation learning approaches (SGRLs), by transforming link prediction to graph classification on the subgraphs around the links, have achieved state-of-the-art performance in link prediction. However, SGRLs are computationally …
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Approximate likelihood for dependent networks and hyperlink predictions
… we focus on the joint prediction of pairwise link and hyperlink under multi-layer networks to incorporate high-order relations in network, which are not considered in the traditional graph representation models which only predict two-way pairwise relations. We propose a novel joint network …