Abstract: The Graph Isomorphism problem regained interest with the rise of Graph Neural Networks (GNN). These GNN models have limited ability to distinguish between isomorphic graphs and hence their ...
Abstract: 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 ...
The device's enduring reliability equates to millions of sales each year for Japan's Casio, which is even eyeing expansion in certain regions. Despite lightning-speed advances in artificial ...
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