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
semanticscholar +1 more source
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
doaj +1 more source
NORM: Knowledge Distillation via N-to-One Representation Matching [PDF]
International Conference on Learning Representations, 2023 Existing feature distillation methods commonly adopt the One-to-one Representation Matching between any pre-selected teacher-student layer pair. In this paper, we present N-to-One Representation (NORM), a new two-stage knowledge distillation method ...
Xiaolong Liu +3 more
semanticscholar +1 more source
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
doaj +1 more source
Comprehensive machine learning based study of the chemical space of herbicides
Scientific Reports, 2021 Widespread use of herbicides results in the global increase in weed resistance. The rotational use of herbicides according to their modes of action (MoAs) and discovery of novel phytotoxic molecules are the two strategies used against the weed resistance.
Davor Oršolić +3 more
doaj +1 more source
Ontology-Based Knowledge Representation in Robotic Systems: A Survey Oriented toward Applications
Applied Sciences, 2021 Knowledge representation in autonomous robots with social roles has steadily gained importance through their supportive task assistance in domestic, hospital, and industrial activities.
S. Manzoor +6 more
semanticscholar +1 more source
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
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source