Abstract: Knowledge Graphs (KGs), with their intricate hierarchies and semantic relationships, present unique challenges for graph representation learning ... of the lack of benchmark fractal-like KG ...

This study not only advances recognition accuracy in HAR but also demonstrates the potential of cross-dataset representation learning to effectively utilize unlabeled data. The proposed method offers ...