Graph data is crucial for modeling complex relationships in various fields, but conventional graph computing methods struggle to handle increasingly intricate and large-scale graph data. Electric ...
In recent years, graph transformers (GTs) have captured increasing attention within the graph domain. To address the prevalent deficiencies in local feature learning and edge information utilization ...
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