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Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs

Autor: Ling Cai, Gengchen Mai, Krzysztof Janowicz, Rui Zhu, Ni Lao, Bo Yan

Publikováno v: K-CAP
Mai, G, Janowicz, K, Yan, B, Zhu, R, Cai, L & Lao, N 2019, Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs . in K-CAP 2019-Proceedings of the 10th International Conference on Knowledge Capture . K-CAP, Association for Computing Machinery (ACM), pp. 171-178, 10th International Conference on Knowledge Capture, K-CAP 2019, Marina Del Rey, United States, 19/11/19 . https://doi.org/10.1145/3360901.3364432, https://doi.org/10.1145/3360901.3364432

Recently, several studies have explored methods for using KG embedding to answer logical queries. These approaches either treat embedding learning and query answering as two separated learning tasks, or fail to deal with the variability of contributi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::620e0c00d0bebcabf773aab19ce2a170
https://doi.org/10.1145/3360901.3364432

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A 3D Structure Database of Components from Chinese Traditional Medicinal Herbs

Autor: Tingjun Hou, Senli Guo, Wei Zhang, Xiaojie Xu, Xuebin Qiao

Publikováno v: Journal of Chemical Information and Computer Sciences. 42:481-489

This article described a 3D structure database of components extracted from Chinese Traditional Medicinal (CTM) herbs. It offers not only basic molecular properties and optimized 3D structure of the compounds but also detailed information on their he

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbf625538e05814b1b7ff44c7786fc37
https://doi.org/10.1021/ci010113h