Results 71 to 80 of about 7,092,434 (358)
Method of Domain Knowledge Graph Construction Based on Property Graph Model [PDF]
Jisuanji kexue, 2022 With the arrival of the big data era,the relationship that needs to be processed in various industries has increased exponentially,and there is an urgent need for a data model that supports the ability to express massive complex relationship,that is ...
LIANG Jing-ru, E Hai-hong, Song Mei-na
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From Books to Knowledge Graphs
Journal of Data Mining & Digital Humanities, 2023 The digital transformation of the scientific publishing industry has led to dramatic improvements in content discoverability and information analytics. Unfortunately, these improvements have not been uniform across research areas. The scientific literature in the arts, humanities and social sciences (AHSS) still lags behind, in part due to the scale of
Kokash, Natallia +3 more
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Toward a Coronavirus Knowledge Graph [PDF]
Genes, 2021 This study builds a coronavirus knowledge graph (KG) by merging two information sources. The first source is Analytical Graph (AG), which integrates more than 20 different public datasets related to drug discovery. The second source is CORD-19, a collection of published scientific articles related to COVID-19. We combined both chemo genomic entities in
Peng Zhang +8 more
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Graph Attention Networks With Local Structure Awareness for Knowledge Graph Completion
IEEE Access, 2020 Graph neural networks have been proven to be very effective for representation learning of knowledge graphs. Recent methods such as SACN and CompGCN, have achieved the most advanced results in knowledge graph completion.
Kexi Ji, Bei Hui, Guangchun Luo
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Knowledge Graph Embedding via Graph Attenuated Attention Networks
IEEE Access, 2020 Knowledge graphs contain a wealth of real-world knowledge that can provide strong support for artificial intelligence applications. Much progress has been made in knowledge graph completion, state-of-the-art models are based on graph convolutional neural
Rui Wang +4 more
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Variational Knowledge Graph Reasoning
, 2018 Inferring missing links in knowledge graphs (KG) has attracted a lot of attention from the research community. In this paper, we tackle a practical query answering task involving predicting the relation of a given entity pair.
Chen, Wenhu +3 more
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Graph Few-shot Learning via Knowledge Transfer
, 2020 Towards the challenging problem of semi-supervised node classification, there have been extensive studies. As a frontier, Graph Neural Networks (GNNs) have aroused great interest recently, which update the representation of each node by aggregating ...
Chawla, Nitesh V. +7 more
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Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion [PDF]
Knowledge Discovery and Data Mining, 2020 Conversational recommender systems (CRS) aim to recommend high-quality items to users through interactive conversations. Although several efforts have been made for CRS, two major issues still remain to be solved.
Kun Zhou +5 more
semanticscholar +1 more source
Knowledge Graph semantic enhancement of input data for improving AI
, 2020 Intelligent systems designed using machine learning algorithms require a large number of labeled data. Background knowledge provides complementary, real world factual information that can augment the limited labeled data to train a machine learning ...
Bhatt, Shreyansh +3 more
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A Knowledge Graph Perspective on Knowledge Engineering
SN Computer Science, 2022 AbstractFor over 50 years researchers and practitioners have searched for ways to elicit and formalize expert knowledge to support AI applications. Expert systems and knowledge bases were all results of these efforts. The initial efforts on knowledge bases were focused on defining a domain and task intensionally with rather complex ontologies.
Simsek, Umutcan +7 more
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