Search Results for author: Tal Neiman

Found 3 papers, 0 papers with code

Hypergraph Pre-training with Graph Neural Networks

no code implementations23 May 2021 Boxin Du, Changhe Yuan, Robert Barton, Tal Neiman, Hanghang Tong

Despite the prevalence of hypergraphs in a variety of high-impact applications, there are relatively few works on hypergraph representation learning, most of which primarily focus on hyperlink prediction, often restricted to the transductive learning setting.

hyperedge classification Representation Learning +1

Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution

no code implementations12 May 2021 Robert A. Barton, Tal Neiman, Changhe Yuan

In this case, the problem becomes a classification task on weighted graphs and represents an interesting application area for modern tools such as Graph Neural Networks (GNNs).

Entity Resolution Graph Classification +1

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