This paper proposes a deep link-prediction (DLP) method by leveraging the local structure of bipartite networks.
Jul 29, 2024 · The method first extracts the local structure between target nodes and observes structural information between nodes from a local perspective.
The method first extracts the local structure between target nodes and observes structural information between nodes from a local perspective. Then, ...
Link prediction based on bipartite networks can not only mine hidden relationships between different types of nodes, but also reveal the inherent law of ...
Jun 10, 2024 · In this study, we address this gap by performing an experimental comparison of 19 link prediction methods able to handle bipartite graphs.
Missing: Deep Local
Aug 16, 2023 · We propose a new method for bipartite link prediction using matrix factorization with negative sample selection. Bipartite link prediction ...
In this paper, we propose a framework for link prediction in bipartite networks by combining the similarity based structure and the latent feature model from a ...
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Mar 4, 2024 · Link prediction in bipartite networks aims to identify or predict possible links between nodes of different types based on known network ...
Abstract Link prediction is an important application of graph neural networks. By predicting missing or future links between pairs of nodes, link prediction ...
Mar 19, 2022 · The purpose of this study is to provide a centralized and comprehensive method based on the neighborhood structure that performs better than the existing ...