2022_Knowledge_Graphs_A_Practical_Review_of_the_Research_Landscape.pdf
510 KB
πKnowledge Graphs: A Practical Review of the Research Landscape
πJournal: INFORMATION
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graphs #Research #Landscape #review
πJournal: INFORMATION
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graphs #Research #Landscape #review
πKnowledge Graph Completion: A Birdβs Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graphs #Embeddings #Software #Applications #Challenges
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graphs #Embeddings #Software #Applications #Challenges
π A Review of Relational Machine Learning for Knowledge Graphs
πJournal: Proceedings of the IEEE (I.F.=14.91)
πPublish year: 2016
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #Machine_Learning #Knowledge_Graphs
πJournal: Proceedings of the IEEE (I.F.=14.91)
πPublish year: 2016
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #Machine_Learning #Knowledge_Graphs
π5
π Knowledge Graphs
πJournal: ACM Computing Surveys(I.F.=14.324)
πPublish year: 2021
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs
πJournal: ACM Computing Surveys(I.F.=14.324)
πPublish year: 2021
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs
π₯2
2019-A review Knowledge reasoning over knowledge graph.pdf
2.2 MB
π A review: Knowledge reasoning over knowledge graph
πJournal: ACM Computing Surveys(I.F.=8.665)
πPublish year: 2019
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #Knowledge_Graphs
πJournal: ACM Computing Surveys(I.F.=8.665)
πPublish year: 2019
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #review #Knowledge_Graphs
π2
πKnowledge Graphs: Opportunities and Challenges
πJournal: Artificial Intelligence Review (I.F=9.588)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graphs #Opportunities #Challenges
πJournal: Artificial Intelligence Review (I.F=9.588)
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graphs #Opportunities #Challenges
π3
πA comprehensive review on knowledge graphs for complex diseases
πJournal: Briefings in Bioinformatics (I.F=13.994)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #knowledge_graphs #complex #diseases #review
πJournal: Briefings in Bioinformatics (I.F=13.994)
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #knowledge_graphs #complex #diseases #review
π2π1
π Graph Neural Networks and Knowledge Graph Completion
π₯Free recorded Tutorial by Prof. Soumen Chakrabarti
π₯Link prediction in social and knowledge graphs : Permutation Invariant and Time Sensitive Deep Representations
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Graph_Neural_Networks #knowledge_graphs
π₯Free recorded Tutorial by Prof. Soumen Chakrabarti
π₯Link prediction in social and knowledge graphs : Permutation Invariant and Time Sensitive Deep Representations
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Graph_Neural_Networks #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph Completion
π2π1
π 2022 Keynote: Deep learning with Knowledge Graphs
π₯Free recorded Tutorial on Deep learning with Knowledge Graphs
π₯In this talk will discuss recent methodological advancements that automatically learn to encode graph structure into low-dimensional embeddings. will also discuss industrial applications, software frameworks, benchmarks, and challenges with scaling-up graph learning systems
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Deep_learning #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph
π₯Free recorded Tutorial on Deep learning with Knowledge Graphs
π₯In this talk will discuss recent methodological advancements that automatically learn to encode graph structure into low-dimensional embeddings. will also discuss industrial applications, software frameworks, benchmarks, and challenges with scaling-up graph learning systems
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Deep_learning #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph
YouTube
KGC 2022 Keynote: 'Deep Learning with Knowledge Graphs' by Stanford's Prof. Jure Leskovec
In this keynote, Stanford University's Professor Jure Leskovec discusses the recent methodological advancements that automatically learn to encode graph structure into low-dimensional embedding.
He also presents the industrial applications, software frameworksβ¦
He also presents the industrial applications, software frameworksβ¦
π2
π Knowledge Graphs: The Path to Enterprise β Michael Moore and AI Omar Azhar, EY
π₯Free recorded tutorial on Knowledge Graphs: A Path to Organization
πΉMichael Moore, Ph.D. β Executive Director, EY Performance Improvement Advisory, Enterprise Knowledge Graphs + AI Lead, EY and Omar Azhar, M.S. β Manager, EY Financial Services Organization Advisory, AI Strategy and Advanced Analytics COE, EY.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Knowledge_Graphs #Enterprise
π₯Free recorded tutorial on Knowledge Graphs: A Path to Organization
πΉMichael Moore, Ph.D. β Executive Director, EY Performance Improvement Advisory, Enterprise Knowledge Graphs + AI Lead, EY and Omar Azhar, M.S. β Manager, EY Financial Services Organization Advisory, AI Strategy and Advanced Analytics COE, EY.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Knowledge_Graphs #Enterprise
YouTube
Knowledge Graphs: The Path to Enterprise β Michael Moore and AI Omar Azhar, EY
Michael Moore, Ph.D. β Executive Director, EY Performance Improvement Advisory, Enterprise Knowledge Graphs + AI Lead, EY and Omar Azhar, M.S. β Manager, EY Financial Services Organization Advisory, AI Strategy and Advanced Analytics COE, EY
2023 -A comprehensive survey of personal knowledge graphs.pdf
2.2 MB
π A comprehensive survey of personal knowledge graphs
π journal: Data Mining and Knowledge Discovery (I.F=7.8)
πPublish year: 2023
π²Channel: @ComplexNetworkAnalysis
#paper #survey #knowledge_graphs
π journal: Data Mining and Knowledge Discovery (I.F=7.8)
πPublish year: 2023
π²Channel: @ComplexNetworkAnalysis
#paper #survey #knowledge_graphs
π2
π Knowledge Graphs
β¨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.
π§βπΌ 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
πPublish year: 2021
πStudy
π²Channel: @ComplexNetworkAnalysis
#Book #graph #Data_Graphs #Graph_Algorithms #Graph_Analytics #Graph_Neural_Networks #Knowledge_Graphs #Social_Networks
β¨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.
π§βπΌ 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
πPublish year: 2021
πStudy
π²Channel: @ComplexNetworkAnalysis
#Book #graph #Data_Graphs #Graph_Algorithms #Graph_Analytics #Graph_Neural_Networks #Knowledge_Graphs #Social_Networks
π5
πMachine Learning for Refining Knowledge Graphs: A Survey
π Journal: acm digital library (I.F=14.324)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Machine_Learning #Knowledge_Graphs #Survey
π Journal: acm digital library (I.F=14.324)
πPublish year: 2020
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Machine_Learning #Knowledge_Graphs #Survey
π₯4π2π1
π A Survey on Knowledge Graphs for Healthcare: Resources, Application Progress, and Promise
π Publish year: 2023
πJournal: IEEE Transactions on Computational Social Systems (I.F: 5.61)
π§βπ»Authors: Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Tianfan Fu, Chen Ling, Joyce Ho, Fei Wang, Carl Yang
π’University: Emory University, Georgia Institute of Technology, Weill Cornell Medicine
πΊ Country: USA , Atlanta
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs #Healthcare #Application
π Publish year: 2023
πJournal: IEEE Transactions on Computational Social Systems (I.F: 5.61)
π§βπ»Authors: Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Tianfan Fu, Chen Ling, Joyce Ho, Fei Wang, Carl Yang
π’University: Emory University, Georgia Institute of Technology, Weill Cornell Medicine
πΊ Country: USA , Atlanta
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Survey #Knowledge_Graphs #Healthcare #Application