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Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution
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).
Hypergraph Pre-training with Graph Neural Networks
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.
MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling
Vision-and-Language Pre-training (VLP) improves model performance for downstream tasks that require image and text inputs.
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