A graph classification model that adds linear multi-view projections and weighted-sum pooling to a fuzzy graph attention network reports accuracy gains on PROTEINS, NCI1, and Mutagenicity.
Parameterized maximum-entropy-based three-way approximate attribute reduction
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Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning
A graph classification model that adds linear multi-view projections and weighted-sum pooling to a fuzzy graph attention network reports accuracy gains on PROTEINS, NCI1, and Mutagenicity.