Cargando…

Embedding-Based Recommendations on Scholarly Knowledge Graphs

The increasing availability of scholarly metadata in the form of Knowledge Graphs (KG) offers opportunities for studying the structure of scholarly communication and evolution of science. Such KGs build the foundation for knowledge-driven tasks e.g., link discovery, prediction and entity classificat...

Descripción completa

Detalles Bibliográficos
Autores principales:	Nayyeri, Mojtaba, Vahdati, Sahar, Zhou, Xiaotian, Shariat Yazdi, Hamed, Lehmann, Jens
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250594/ http://dx.doi.org/10.1007/978-3-030-49461-2_15

Ejemplares similares

Analysing the evolution of computer science events leveraging a scholarly knowledge graph: a scientometrics study of top-ranked events in the past decade
por: Lackner, Arthur, et al.
Publicado: (2021)

Scholarly knowledge graphs through structuring scholarly communication: a review
por: Verma, Shilpa, et al.
Publicado: (2022)

Chapter 2 Knowledge Graphs: The Layered Perspective
por: Bellomarini, Luigi, et al.
Publicado: (2020)

Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion
por: Kolyvakis, Prodromos, et al.
Publicado: (2020)

Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation
por: Khan, Nasrullah, et al.
Publicado: (2022)

A type-augmented knowledge graph embedding framework for knowledge graph completion
por: He, Peng, et al.
Publicado: (2023)

A Scholarly Knowledge Graph-Powered Dashboard: Implementation and User Evaluation
por: Lezhnina, Olga, et al.
Publicado: (2022)

A Knowledge Graph Entity Disambiguation Method Based on Entity-Relationship Embedding and Graph Structure Embedding
por: Ma, Jiangtao, et al.
Publicado: (2021)

Iterative heterogeneous graph learning for knowledge graph-based recommendation
por: Liu, Tieyuan, et al.
Publicado: (2023)

GFCNet: Utilizing graph feature collection networks for coronavirus knowledge graph embeddings
por: Xie, Zhiwen, et al.
Publicado: (2022)

Prediction of adverse drug reactions based on knowledge graph embedding
por: Zhang, Fei, et al.
Publicado: (2021)

Enhancing Knowledge Graph Extraction and Validation From Scholarly Publications Using Bibliographic Metadata
por: Turki, Houcemeddine, et al.
Publicado: (2021)

Knowledge Graph Embeddings for ICU readmission prediction
por: Carvalho, Ricardo M. S., et al.
Publicado: (2023)

Multimodal reasoning based on knowledge graph embedding for specific diseases
por: Zhu, Chaoyu, et al.
Publicado: (2022)

Embedding Learning with Triple Trustiness on Noisy Knowledge Graph
por: Zhao, Yu, et al.
Publicado: (2019)

Application and evaluation of knowledge graph embeddings in biomedical data
por: Alshahrani, Mona, et al.
Publicado: (2021)

Assessing the effects of hyperparameters on knowledge graph embedding quality
por: Lloyd, Oliver, et al.
Publicado: (2023)

Marie and BERT—A Knowledge Graph Embedding Based Question Answering System for Chemistry
por: Zhou, Xiaochi, et al.
Publicado: (2023)

Embedded graphs
por: Lando, S, et al.
Publicado: (2001)

Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network
por: Molokwu, Bonaventure C., et al.
Publicado: (2020)

Neural embeddings of scholarly periodicals reveal complex disciplinary organizations
por: Peng, Hao, et al.
Publicado: (2021)

Interpretable patent recommendation with knowledge graph and deep learning
por: Chen, Han, et al.
Publicado: (2023)

Time-aware Embeddings of Clinical Data using a Knowledge Graph
por: Soman, Karthik, et al.
Publicado: (2023)

An inductive knowledge graph embedding via combination of subgraph and type information
por: Liu, Hongbo, et al.
Publicado: (2023)

Predicting biomedical relationships using the knowledge and graph embedding cascade model
por: Liang, Xiaomin, et al.
Publicado: (2019)

Knowledge-Aware Multispace Embedding Learning for Personalized Recommendation
por: Jian, Meng, et al.
Publicado: (2022)

Ensembles of knowledge graph embedding models improve predictions for drug discovery
por: Rivas-Barragan, Daniel, et al.
Publicado: (2022)

Multi-domain knowledge graph embeddings for gene-disease association prediction
por: Nunes, Susana, et al.
Publicado: (2023)

Predicting Learners Need for Recommendation Using Dynamic Graph-Based Knowledge Tracing
por: Chanaa, Abdessamad, et al.
Publicado: (2020)

Symposium on Open Access to Knowledge and Scholarly
Publicado: (2004)

Health-Aware Food Recommendation Based on Knowledge Graph and Multi-Task Learning
por: Chen, Yi, et al.
Publicado: (2023)

Visual analytics of route recommendation for tourist evacuation based on graph neural network
por: Zhang, Lin, et al.
Publicado: (2023)

KHGCN: Knowledge-Enhanced Recommendation with Hierarchical Graph Capsule Network
por: Chen, Fukun, et al.
Publicado: (2023)

Virtual Network Embedding Based on Graph Entropy
por: Zhang, Jingjing, et al.
Publicado: (2018)

Improving Knowledge Graph Embedding Using Locally and Globally Attentive Relation Paths
por: Jia, Ningning, et al.
Publicado: (2020)

Joint Word and Entity Embeddings for Entity Retrieval from a Knowledge Graph
por: Nikolaev, Fedor, et al.
Publicado: (2020)

CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia
por: Yu, Xiang, et al.
Publicado: (2021)

Integrating and formatting biomedical data as pre-calculated knowledge graph embeddings in the Bioteque
por: Fernández-Torras, Adrià, et al.
Publicado: (2022)

Multitask Healthcare Management Recommendation System Leveraging Knowledge Graph
por: Liu, Wanheng, et al.
Publicado: (2021)

Knowledge graph embedding for profiling the interaction between transcription factors and their target genes
por: Wu, Yang-Han, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_7l5poes66aghvrnkp3p6bu3vsl