Abstract: Graph neural networks (GNNs) have shown great success in graph representation learning by extracting high-level features from nodes and their topology. Many previous studies have used the ...
Abstract: Multi-layered graphs are popular in mobility studies because transportation data include multiple modalities, such as railways, buses, and taxis. Another example of a multi-layered graph is ...
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