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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 Understanding Spirituality among Chinese College Students: Xin-Yang (信仰) and its Assessment Li, Shengnan. - : University of Kansas, 2019 BASE Show details 2 Non-translational Alignment for Multi-relational Networks Li, Shengnan; Li, Xin; Ye, Rui; Wang, Mingzhong; Su, Haiping; Ou, Yingzi. - : International Joint Conference on Artificial Intelligence, 2018 Abstract: Most existing solutions for the alignment of multirelational networks, such as multi-lingual knowledge bases, are “translation”-based which facilitate the network embedding via the trans-family, such as TransE. However, they cannot address triangular or other structural properties effectively. Thus, we propose a non-translational approach, which aims to utilize a probabilistic model to offer more robust solutions to the alignment task, by exploring the structural properties as well as leveraging on anchors to project each network onto the same vector space during the process of learning the representation of individual networks. The extensive experiments on four multi-lingual knowledge graphs demonstrate the effectiveness and robustness of the proposed method over a set of stateof-the-art alignment methods. Keyword: FoR 1503 (Business and Management) URL: https://www.ijcai.org/proceedings/2018/0581.pdf BASE Hide details

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