May 4, 2021 · In this paper, we propose a novel network representation learning framework that can encode the interpretable hierarchical structural semantics into the ...

Dec 31, 2020 · In this paper, we propose a novel network representation learning framework that can encode the interpretable hierarchical structural semantics ...

This paper measures the distance and importance degree of nodes in the original network and map the nodes to a tree space and proposes a novel network ...

In this paper, we propose a novel network representation learning framework that can encode the interpretable hierarchical structural semantics into the ...

In this paper, we propose a novel network representation learning framework that can encode the interpretable hierarchical structural semantics into the ...

The distribution of the representation vectors needs to reflect the hierarchical structural properties which widely exist in networks. In this paper, we propose ...

The distribution of the representation vectors needs to reflect the hierarchical structural properties which widely exist in networks. In this paper, we propose ...

In this paper, we propose a novel network representation learning framework that can encode the interpretable hierarchical structural semantics into the ...

The graph leading tree reveals the hierarchy. hier2vec: interpretable multi-granular representation learning for hierarchy in social networks. Article. Full ...

Oct 7, 2024 · hier2vec: interpretable multi-granular representation learning for hierarchy in social networks. Int. J. Mach. Learn. Cybern. 12(9): 2543 ...