Results 51 to 60 of about 7,291,916 (317)
A Survey on Knowledge Graph-Based Recommender Systems [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2020 To solve the information explosion problem and enhance user experience in various online applications, recommender systems have been developed to model users’ preferences. Although numerous efforts have been made toward more personalized recommendations,
Qingyu Guo +6 more
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Low-Dimensional Hyperbolic Knowledge Graph Embeddings [PDF]
Annual Meeting of the Association for Computational Linguistics, 2020 Knowledge graph (KG) embeddings learn low- dimensional representations of entities and relations to predict missing facts. KGs often exhibit hierarchical and logical patterns which must be preserved in the embedding space.
Ines Chami +5 more
semanticscholar +1 more source
Knowledge graph and knowledge reasoning: A systematic review
Journal of Electronic Science and Technology, 2022 The knowledge graph (KG) that represents structural relations among entities has become an increasingly important research field for knowledge-driven artificial intelligence. In this survey, a comprehensive review of KG and KG reasoning is provided.
Ling Tian +5 more
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Process Knowledge Graph Construction Method for Process Reuse
Xibei Gongye Daxue Xuebao, 2019 Aiming at the problems of process knowledge reuse and sharing led by the difficulty of unified representation of complex and diverse process knowledge, a process knowledge graph construction method for process reuse is proposed.
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Review of knowledge graph refinement
Dianzi Jishu Yingyong, 2018 Knowledge graph is a new knowledge representation method in the mobile Internet era. Knowledge graph refinement is one of the main contents in application of knowledge graph and its main goal are completion and error detection.
Xie Gang
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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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Mining Frequent Neighborhood Patterns in Large Labeled Graphs [PDF]
, 2013 Over the years, frequent subgraphs have been an important sort of targeted patterns in the pattern mining literatures, where most works deal with databases holding a number of graph transactions, e.g., chemical structures of compounds. These methods rely
Han, Jialong, Wen, Ji-Rong
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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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Knowledge Graph Reasoning Based on Tensor Decomposition and MHRP-Learning
Advances in Multimedia, 2021 In the process of learning and reasoning knowledge graph, the existing tensor decomposition technology only considers the direct relationship between entities in knowledge graph. However, it ignores the characteristics of the graph structure of knowledge
Tangsen Huang +3 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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