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Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks and ...
Graph Neural Networks With Parallel Neighborhood Aggregations for Graph Classification - IEEE Xplore
We focus on graph classification using a graph neural network (GNN) model that precomputes node features using a bank of neighborhood aggregation graph operators arranged in parallel. These GNN models ...
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