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cs.LG2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies
Xue Liu, Dan Sun, Xiaobo Cao +2
Graph embedding provides a feasible methodology to conduct pattern classification for graph-structured data by mapping each data into the vectorial space. Various pioneering works…
cs.LG2021
Graph Classification Based on Skeleton and Component Features
Xue Liu, Wei Wei, Xiangnan Feng +2
Most existing popular methods for learning graph embedding only consider fixed-order global structural features and lack structures hierarchical representation. To address this wea…