Relational World Knowledge Representation in Contextual Language Models: A Review [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 Relational knowledge bases (KBs) are commonly used to represent world knowledge in machines. However, while advantageous for their high degree of precision and interpretability, KBs are usually organized according to manually-defined schemas, which limit
Tara Safavi, Danai Koutra
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A Survey on Knowledge Graphs: Representation, Acquisition, and Applications [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2020 Human knowledge provides a formal understanding of the world. Knowledge graphs that represent structural relations between entities have become an increasingly popular research direction toward cognition and human-level intelligence.
Shaoxiong Ji +4 more
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Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Knowledge Graph (KG) reasoning that predicts missing facts for incomplete KGs has been widely explored. However, reasoning over Temporal KG (TKG) that predicts facts in the future is still far from resolved.
Zixuan Li +7 more
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Temporal Knowledge Graph Representation Learning [PDF]
Jisuanji kexue, 2022 As a structured form of human knowledge,knowledge graphs have played a great supportive role in supporting the semantic intercommunication of massive,multi-source,heterogeneous data,and effectively support tasks such as data analysis,attracting the ...
XU Yong-xin, ZHAO Jun-feng, WANG Ya-sha, XIE Bing, YANG Kai
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Explainable online health information truthfulness in Consumer Health Search
Frontiers in Artificial Intelligence, 2023 IntroductionPeople are today increasingly relying on health information they find online to make decisions that may impact both their physical and mental wellbeing.
Rishabh Upadhyay +3 more
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Democratizing knowledge representation with BioCypher [PDF]
Nature Biotechnology, 2023 International ...
Sebastian Lobentanzer +31 more
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Review and Chemoinformatic Analysis of Ferroptosis Modulators with a Focus on Natural Plant Products
Molecules, 2023 Ferroptosis is a regular cell death pathway that has been proposed as a suitable therapeutic target in cancer and neurodegenerative diseases. Since its definition in 2012, a few hundred ferroptosis modulators have been reported.
Višnja Stepanić +1 more
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RDF 1.1: Knowledge Representation and Data Integration Language for the Web [PDF]
Symmetry, 2020 Resource Description Framework (RDF) can seen as a solution in today’s landscape of knowledge representation research. An RDF language has symmetrical features because subjects and objects in triples can be interchangeably used.
Dominik Tomaszuk, David Hyland-Wood
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Using Proximity Graph Cut for Fast and Robust Instance-Based Classification in Large Datasets
Complexity, 2021 K-nearest neighbours (kNN) is a very popular instance-based classifier due to its simplicity and good empirical performance. However, large-scale datasets are a big problem for building fast and compact neighbourhood-based classifiers. This work presents
Stanislav Protasov, Adil Mehmood Khan
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Redox Active Molecules in Cancer Treatments
Molecules, 2023 Cancer is one of the leading causes of death worldwide, with nearly 10 million deaths in 2020 [...]
Višnja Stepanić +1 more
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