Contrastive learning regularizers for Graph2Seq models using Multi-Level Attention Pooling (MLAP) encoders. These regularizers build upon work done in Graph Contrastive Learning with Adaptive Augmentation (GCA) and Deep Graph Infomax (DGI).
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Graph2Seq Learning using a Multi-Level Attention Pooling (MLAP) encoder and contrastive learning regularizer.
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