πFrom social networks to knowledge graphs: A plea for interdisciplinary approaches
πJournal: Social Sciences and Humanities Open
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #knowledge_graph #plea #interdisciplinary #approaches
πJournal: Social Sciences and Humanities Open
πPublish year: 2022
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #knowledge_graph #plea #interdisciplinary #approaches
πA Survey on Knowledge Graph Embeddings for Link Prediction
πJournal: SYMMETRY-BASEL (I.F=2.94)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #knowledge_graph #Embeddings #Link_Prediction #Survey
πJournal: SYMMETRY-BASEL (I.F=2.94)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #knowledge_graph #Embeddings #Link_Prediction #Survey
π1
π Machine Learning with Graphs: Heterogeneous & Knowledge Graph Embedding, Knowledge Graph Completion
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯ In this lecture, we first introduce the heterogeneous graph with the definition and several examples. In the next, we talk about a model called RGCN which extends the GCN to heterogeneous graph. To make the model more scalable, several approximated approaches are introduced, including block diagonal matrices and basis learning. At last, we show how RGCN predicts the labels of nodes and links.
Then we introduce the knowledge graphs by giving several examples and applications.
π½ Watch: part1 part2
π slide
π» Code
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #Knowledge_Graph #GNN
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯ In this lecture, we first introduce the heterogeneous graph with the definition and several examples. In the next, we talk about a model called RGCN which extends the GCN to heterogeneous graph. To make the model more scalable, several approximated approaches are introduced, including block diagonal matrices and basis learning. At last, we show how RGCN predicts the labels of nodes and links.
Then we introduce the knowledge graphs by giving several examples and applications.
π½ Watch: part1 part2
π slide
π» Code
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #Knowledge_Graph #GNN
YouTube
Stanford CS224W: ML with Graphs | 2021 | Lecture 10.1-Heterogeneous & Knowledge Graph Embedding
For more information about Stanfordβs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3pNkBLE
Lecture 10.1 - Heterogeneous Graphs and Knowledge Graph Embeddings
Jure Leskovec
Computer Science, PhD
In this lecture,β¦
Lecture 10.1 - Heterogeneous Graphs and Knowledge Graph Embeddings
Jure Leskovec
Computer Science, PhD
In this lecture,β¦
π4π1
πConstruction of Knowledge Graphs: Current State and Challenges
πPublish year: 2023
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph
πPublish year: 2023
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph
π2
π Machine Learning with Graphs: Reasoning in Knowledge Graphs, Answering Predictive Queries, Query2box: Reasoning over KGs
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯ IIn this lecture, we introduce how to perform reasoning over knowledge graphs and provide answers to complex queries. We talk about different possible queries that one can get over a knowledge graph, and how to answer them by traversing over the graph. We also show how incompleteness of knowledge graphs can limit our ability to provide complete answers. We finally talk about how we can solve this problem by generalizing the link prediction task.
π½ Watch: part1 part2 part3
π slide
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #Knowledge_Graph
π₯Free recorded course by Jure Leskovec, Computer Science, PhD
π₯ IIn this lecture, we introduce how to perform reasoning over knowledge graphs and provide answers to complex queries. We talk about different possible queries that one can get over a knowledge graph, and how to answer them by traversing over the graph. We also show how incompleteness of knowledge graphs can limit our ability to provide complete answers. We finally talk about how we can solve this problem by generalizing the link prediction task.
π½ Watch: part1 part2 part3
π slide
π²Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning #Knowledge_Graph
YouTube
Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 11.1 - Reasoning in Knowledge Graphs
For more information about Stanfordβs Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3BweHQZ
Lecture 11.1 - Reasoning in Knowledge Graphs using Embeddings
Jure Leskovec
Computer Science, PhD
In this lecture, we introduceβ¦
Lecture 11.1 - Reasoning in Knowledge Graphs using Embeddings
Jure Leskovec
Computer Science, PhD
In this lecture, we introduceβ¦
π1
πConstruction of Knowledge Graphs: Current State and Challenges
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Current_State
#Challenges
πPublish year: 2023
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Current_State
#Challenges
β€2π2
Forwarded from Bioinformatics
π A comprehensive review on knowledge graphs for complex diseases
π Journal: Briefings in Bioinformatics (I.F.=9.5)
π Publish year: 2023
π§βπ»Authors: Yang Yang, Yuwei Lu, Wenying Yan
π’University: Soochow University, Suzhou, China
π Study the paper
π²Channel: @Bioinformatics
#review #knowledge_graph #diease
π Journal: Briefings in Bioinformatics (I.F.=9.5)
π Publish year: 2023
π§βπ»Authors: Yang Yang, Yuwei Lu, Wenying Yan
π’University: Soochow University, Suzhou, China
π Study the paper
π²Channel: @Bioinformatics
#review #knowledge_graph #diease
π2
π A systematic literature review of knowledge graph construction and application in education
π Journal: Heliyon (I.F=4)
π Publish year: 2023
π§βπ»Authors: Bilal Abu-Salih , Salihah Alotaibi
π’Universities: The University of Jordan, Imam Mohammad Ibn Saud Islamic University (IMSIU),
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#review #knowledge_graph #education #review
π Journal: Heliyon (I.F=4)
π Publish year: 2023
π§βπ»Authors: Bilal Abu-Salih , Salihah Alotaibi
π’Universities: The University of Jordan, Imam Mohammad Ibn Saud Islamic University (IMSIU),
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#review #knowledge_graph #education #review
π5
π Drug-drug interactions prediction based on deep learning and knowledge graph: a review
π Journal: iScience (I.F=6.107)
π Publish year: 2024
π§βπ»Authors: Huimin Luo, Weijie Yin, Jianlin Wang, Wenjuan Liang, Junwei Luo, Chaokun Yan
π’University: Henan University, Kaifeng, China, Henan Polytechnic University, Jiaozuo, China
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #Drug #prediction #Deep_learning #knowledge_graph #review
π Journal: iScience (I.F=6.107)
π Publish year: 2024
π§βπ»Authors: Huimin Luo, Weijie Yin, Jianlin Wang, Wenjuan Liang, Junwei Luo, Chaokun Yan
π’University: Henan University, Kaifeng, China, Henan Polytechnic University, Jiaozuo, China
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #Drug #prediction #Deep_learning #knowledge_graph #review
π1
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
π Study the paper
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
π Study the paper
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
π Study the paper
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)
π Study the paper
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)
π Study the paper
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
π Study paper
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
π Study the paper
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
π Study the paper
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