Multiscale Laplacian graph kernel combined with lexico-syntactic patterns for biomedical event extraction from literature
Sign Up to like & getrecommendations! Published in 2021 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-020-01514-8
Abstract: Bio-event extraction is an extensive research area in the field of biomedical text mining, this focuses on elaborating relationships between biomolecules and can provide various aspects of their nature. Bio-event extraction plays a vital role… read more here.
Keywords: laplacian graph; multiscale laplacian; graph kernel; event ... See more keywords
Graph classification based on graph set reconstruction and graph kernel feature reduction
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.03.029
Abstract: Abstract Graph, a kind of structured data, is widely used to model complex relationships among objects, and has been used in various of scientific and engineering fields, such as bioinformatics, network intrusion detection, social network,… read more here.
Keywords: classification; graph set; graph classification; graph kernel ... See more keywords
Graph Kernel Based Clustering Algorithm in MANETs
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DOI: 10.1109/access.2020.3001137
Abstract: The mobile ad hoc network (MANET) is a kind of dynamic, easy to construct and universal network, which has been widely concerned by a large number of researchers. Graph theory provides an effective theoretical tool… read more here.
Keywords: kernel based; based clustering; graph kernel; algorithm manets ... See more keywords
GK-BSC: Graph Kernel-Based Brain States Construction With Dynamic Brain Networks and Application to Schizophrenia Identification
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DOI: 10.1109/access.2022.3178748
Abstract: The dynamic brain network can reflect time-varying changes of the BLOD signal fluctuations, and has been widely used in the research of brain diseases identification. This network consists of a set of connection matrices, where… read more here.
Keywords: brain states; identification; brain; brain networks ... See more keywords
Recommending Crowdfunding Project: A Graph Kernel-Based Link Prediction Method for Extremely Sparse Implicit Feedback
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5126140
Abstract: It is a critical task to provide recommendation on implicit feedback, and one of the biggest challenges is extreme data sparsity. To tackle the problem, a graph kernel-based link prediction method is proposed in this… read more here.
Keywords: link prediction; implicit feedback; feedback; graph kernel ... See more keywords