Abstract: Graph representation learning is an emerging area for graph analysis and inference. However, existing approaches for large-scale graphs either sample nodes in sequential walks or manipulate ...
Abstract: Heterogeneous graph representation learning is critical for analyzing complex data structures. Metapaths within this field are vital as they elucidate high-order relationships across the ...
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