π A Bibliometric Analysis of Recent Developments and Trends in Knowledge Graph Research (2013β2022)
π Journal: IEEE ACCESS (I.F=3.9)
π Publish year: 2024
π§βπ»Authors: GANG WANG, JING HE
π’Universities: Chaohu University
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Bibliometric #Knowledge_Graph
π Journal: IEEE ACCESS (I.F=3.9)
π Publish year: 2024
π§βπ»Authors: GANG WANG, JING HE
π’Universities: Chaohu University
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Bibliometric #Knowledge_Graph
π4
π A Survey on Temporal Knowledge Graph: Representation Learning and Applications
π Publish year: 2024
π§βπ»Authors: JLi Cai, Xin Mao, Yuhao Zhou, Zhaoguang Long, Changxu Wu, Man Lan
π’Universities: East China Nomal University, Guizhou University, Tsinghua University
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π±Channel: @ComplexNetworkAnalysis
#paper #Temporal #Knowledge_Graph #Representation_Learning #Application #survey
π Publish year: 2024
π§βπ»Authors: JLi Cai, Xin Mao, Yuhao Zhou, Zhaoguang Long, Changxu Wu, Man Lan
π’Universities: East China Nomal University, Guizhou University, Tsinghua University
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #Temporal #Knowledge_Graph #Representation_Learning #Application #survey
π3π2
π Knowledge Graphs and their Applications in Civil Security
π Publish year: 2020
π§βπ»Authors: Simon Ott, Daria Liakhovets, Mina SchΓΌtz, Medina Andresel, Mihai Bartha, Sven Schlarb, Alexander Schindler
π’University: Austrian Institute of Technology GmbH
Giefinggasse 4, 1210 Vienna, Austria
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π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Application #Civil_Security
π Publish year: 2020
π§βπ»Authors: Simon Ott, Daria Liakhovets, Mina SchΓΌtz, Medina Andresel, Mihai Bartha, Sven Schlarb, Alexander Schindler
π’University: Austrian Institute of Technology GmbH
Giefinggasse 4, 1210 Vienna, Austria
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π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Application #Civil_Security
π1
πKnowledge Graph Embedding: An Overview
π Publish year: 2024
π Journal: APSIPA Transactions on Signal and Information Processing (I.F=3.2)
π§βπ»Authors: Xiou Ge, Yun Cheng Wang, Bin Wang, C.-C. Jay Kuo
π’Universities: University of Southern California, Institute for Infocomm Research (I2R)
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π²Channel: @ComplexNetworkAnalysis
#paper #Overview #Knowledge_Graph
π Publish year: 2024
π Journal: APSIPA Transactions on Signal and Information Processing (I.F=3.2)
π§βπ»Authors: Xiou Ge, Yun Cheng Wang, Bin Wang, C.-C. Jay Kuo
π’Universities: University of Southern California, Institute for Infocomm Research (I2R)
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π²Channel: @ComplexNetworkAnalysis
#paper #Overview #Knowledge_Graph
π4
π Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities
π Publish year: 2023
πJournal: Transactions on Graph Data and Knowledge (TGDK)
π§βπ»Authors: Jiaoyan Chen, Hang Dong, Janna Hastin, Ernesto JimΓ©nez-Ruiz, Vanessa LΓ³pez, Pierre Monnin, Catia Pesquita, Petr Ε koda, Valentina Tamm
π’Universities: University of Manchester, University of Oxford, University of Zurich, Switzerland, University of London, UniversitΓ© CΓ΄te dβAzur, Inria, Charles University, Prague, Czechia
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π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Life_Sciences #Developments #Challenges #Opportunities
π Publish year: 2023
πJournal: Transactions on Graph Data and Knowledge (TGDK)
π§βπ»Authors: Jiaoyan Chen, Hang Dong, Janna Hastin, Ernesto JimΓ©nez-Ruiz, Vanessa LΓ³pez, Pierre Monnin, Catia Pesquita, Petr Ε koda, Valentina Tamm
π’Universities: University of Manchester, University of Oxford, University of Zurich, Switzerland, University of London, UniversitΓ© CΓ΄te dβAzur, Inria, Charles University, Prague, Czechia
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Life_Sciences #Developments #Challenges #Opportunities
π5
πHealthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities
π Publish year: 2023
πJournal: Journal of Big Data
π§βπ»Authors: Bilal Abu-Salih, Muhammad AL-Qurishi, Mohammed Alweshah, Mohammad AL-Smadi, Reem Alfayez and Heba Saadeh
π’Universities: The University of Jordan, Amman, Jordan
King Saud University, Riyadh, Saudi Arabia
Al-Balqa Applied University, Salt, Jordan
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Healthcare #Knowledge_Graph #open_issues #opportunities #review
π Publish year: 2023
πJournal: Journal of Big Data
π§βπ»Authors: Bilal Abu-Salih, Muhammad AL-Qurishi, Mohammed Alweshah, Mohammad AL-Smadi, Reem Alfayez and Heba Saadeh
π’Universities: The University of Jordan, Amman, Jordan
King Saud University, Riyadh, Saudi Arabia
Al-Balqa Applied University, Salt, Jordan
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Healthcare #Knowledge_Graph #open_issues #opportunities #review
π1
πA Comprehensive Survey on Automatic Knowledge Graph Construction
π Publish year: 2023
π§βπ»Authors: LINGFENG ZHONG, JIA WU, QIAN LI, HAO PENG, XINDONG WU
π’Universities: Macquarie University, Beihang University, Hefei University of Technology
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #knowledge_graph #Survey
π Publish year: 2023
π§βπ»Authors: LINGFENG ZHONG, JIA WU, QIAN LI, HAO PENG, XINDONG WU
π’Universities: Macquarie University, Beihang University, Hefei University of Technology
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #knowledge_graph #Survey
π3
π₯ Knowledge graphs - Foundations and applications
π Watch the collection
β‘οΈChannel: @ComplexNetworkAnalysis
#video #knowledge_graph
π Watch the collection
β‘οΈChannel: @ComplexNetworkAnalysis
#video #knowledge_graph
πKnowledge Graph Construction: Extraction, Learning, and Evaluation
π Journal: Applied Sciences (I.F.=2.5)
π Publish year: 2025
π§βπ»Authors: Seungmin Choi and Yuchul Jung
π’Universities: Kumoh National Institute of Technology, Republic of Korea
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β‘οΈChannel: @ComplexNetworkAnalysis
#review #knowledge_graph
π Journal: Applied Sciences (I.F.=2.5)
π Publish year: 2025
π§βπ»Authors: Seungmin Choi and Yuchul Jung
π’Universities: Kumoh National Institute of Technology, Republic of Korea
π Study the paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #knowledge_graph
πΉHow to Build a Knowledge Graph
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #knowledge_graph #neo4j
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #knowledge_graph #neo4j
YouTube
Neo4j Live: How to Build a Knowledge Graph
Do you think building a knowledge graph is too complex? Think again. Join us when we look at the new eBook "The Developerβs Guide: How to Build a Knowledge Graph" and learn how to model, query and grow your graph step by step.
Weβll bust a few myths, walkβ¦
Weβll bust a few myths, walkβ¦
π A Survey of Link Prediction in N-ary Knowledge Graphs
π Publish year: 2025
π§βπ»Authors: Jiyao Wei, Saiping Guan, Da Li,...
π’University: University of Chinese Academy of Sciences, China
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β‘οΈChannel: @ComplexNetworkAnalysis
#review #link_prediction #n_ary #knowledge_graph
π Publish year: 2025
π§βπ»Authors: Jiyao Wei, Saiping Guan, Da Li,...
π’University: University of Chinese Academy of Sciences, China
π Study the paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #link_prediction #n_ary #knowledge_graph
π₯ How to Build a Knowledge Graph
π Watch
π¦ Code
β‘οΈChannel: @ComplexNetworkAnalysis
#video #knowledge_graph
π Watch
π¦ Code
β‘οΈChannel: @ComplexNetworkAnalysis
#video #knowledge_graph
YouTube
How to Build a Knowledge Graph [Ft. Graphiti]
Workshop from @FalkorDB and ZEP (Graphiti): Building Production Knowledge Graphs from Structured/Unstructured Data Sources.
π©βπ» Google Collab for the demo: https://colab.research.google.com/drive/1HbDPKlsz9tYfRGeWHn60vsWeGhFIsqyF?usp=sharing
This workshopβ¦
π©βπ» Google Collab for the demo: https://colab.research.google.com/drive/1HbDPKlsz9tYfRGeWHn60vsWeGhFIsqyF?usp=sharing
This workshopβ¦
π1
πΉ Knowledge Graphs for Plant and Microbiome Multiomics
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #knowledge_graph #plant
π Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #knowledge_graph #plant
YouTube
Symposium Knowledge Graphs for Plant and Microbiome Multiomics - 14th October 2025
As multi-omics datasets grow in scale and complexity, the need for FAIR (Findable, Accessible, Interoperable, Reusable) data and analysis frameworks becomes increasingly critical for deriving meaningful biological insights. The growing availability of transcriptomicβ¦
π1