Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...
Abstract: In this paper, we propose an innovative Graph Neural Network (GNN) model that combines PageRank, genetic algorithm, and Graph Convolutional neural Network (GCN) to solve the problem of ...
Abstract: With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a ...
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