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Many important applications are organized around long-lived, irregular sparse graphs (e.g., data and knowledge bases, CAD optimization, numerical problems, simulations). The graph structures are large ...
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Hard in theory, easy in practice: Why graph isomorphism algorithms seem to be so effectiveGraphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a public transportation network. Mathematicians have long sought to develop ...
The existing methods of graph classification often do not consider the information of the graph from multiple perspectives, nor do they dynamically fuse the relevant information scores of nodes, which ...
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