📚 Knowledge Graphs

✨This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying a graph-based abstraction to data, and are now broadly deployed in scenarios that require integrating and extracting value from multiple, diverse sources of data at large scale.

🧑‍💼 authors: Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia D'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, Jose Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M Rashid, Anisa Rula, Juan Sequeda, Lukas Schmelzeisen, Steffen Staab, Antoine Zimmerman
🗓Publish year: 2021

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#Book #graph #Data_Graphs #Graph_Algorithms #Graph_Analytics #Graph_Neural_Networks #Knowledge_Graphs #Social_Networks

📄Machine Learning for Refining Knowledge Graphs: A Survey

📘 Journal: acm digital library (I.F=14.324)
🗓Publish year: 2020

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#paper #Machine_Learning #Knowledge_Graphs #Survey

📄 A comprehensive review on knowledge graphs for complex diseases

📘 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2023

🧑‍💻Authors: Yang Yang, Yuwei Lu, Wenying Yan
🏢University: Soochow University, Suzhou, China

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📲Channel: @Bioinformatics
#review #knowledge_graph #diease

📃 A systematic literature review of knowledge graph construction and application in education

📘 Journal: Heliyon (I.F=4)
🗓 Publish year: 2023

🧑‍💻Authors: Bilal Abu-Salih , Salihah Alotaibi
🏢Universities: The University of Jordan, Imam Mohammad Ibn Saud Islamic University (IMSIU),

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#review #knowledge_graph #education #review

📃 Drug-drug interactions prediction based on deep learning and knowledge graph: a review

📘 Journal: iScience (I.F=6.107)
🗓 Publish year: 2024

🧑‍💻Authors: Huimin Luo, Weijie Yin, Jianlin Wang, Wenjuan Liang, Junwei Luo, Chaokun Yan
🏢University: Henan University, Kaifeng, China, Henan Polytechnic University, Jiaozuo, China

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#paper #Drug #prediction #Deep_learning #knowledge_graph #review

📃 A Survey on Temporal Knowledge Graph: Representation Learning and Applications

🗓 Publish year: 2024

🧑‍💻Authors: JLi Cai, Xin Mao, Yuhao Zhou, Zhaoguang Long, Changxu Wu, Man Lan
🏢Universities: East China Nomal University, Guizhou University, Tsinghua University

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#paper #Temporal #Knowledge_Graph #Representation_Learning #Application #survey

📃 Knowledge Graphs and their Applications in Civil Security

🗓 Publish year: 2020

🧑‍💻Authors: Simon Ott, Daria Liakhovets, Mina Schütz, Medina Andresel, Mihai Bartha, Sven Schlarb, Alexander Schindler
🏢University: Austrian Institute of Technology GmbH
Giefinggasse 4, 1210 Vienna, Austria

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#paper #Knowledge_Graph #Application #Civil_Security

📃Knowledge Graph Embedding: An Overview

🗓 Publish year: 2024
📘 Journal: APSIPA Transactions on Signal and Information Processing (I.F=3.2)

🧑‍💻Authors: Xiou Ge, Yun Cheng Wang, Bin Wang, C.-C. Jay Kuo
🏢Universities: University of Southern California, Institute for Infocomm Research (I2R)

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#paper #Overview #Knowledge_Graph