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πŸ“„From social networks to knowledge graphs: A plea for interdisciplinary approaches

πŸ“˜
Journal: Social Sciences and Humanities Open
πŸ—“
Publish year: 2022

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #knowledge_graph #plea #interdisciplinary #approaches
πŸ“„A Survey on Knowledge Graph Embeddings for Link Prediction

πŸ“˜
Journal: SYMMETRY-BASEL (I.F=2.94)
πŸ—“
Publish year: 2021

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #knowledge_graph #Embeddings #Link_Prediction #Survey
πŸ‘1
🎞 Machine Learning with Graphs: Heterogeneous & Knowledge Graph Embedding, Knowledge Graph Completion

πŸ’₯Free recorded course by Jure Leskovec, Computer Science, PhD

πŸ’₯ 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.

πŸ“½ Watch: part1 part2

πŸ“ slide

πŸ’» Code

πŸ“²Channel: @ComplexNetworkAnalysis

#video #course #Graph #Machine_Learning #Knowledge_Graph #GNN
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πŸ“„Construction of Knowledge Graphs: Current State and Challenges

πŸ—“Publish year: 2023

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph
πŸ‘2
🎞 Machine Learning with Graphs: Reasoning in Knowledge Graphs, Answering Predictive Queries, Query2box: Reasoning over KGs

πŸ’₯Free recorded course by Jure Leskovec, Computer Science, PhD

πŸ’₯ 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.

πŸ“½ Watch: part1 part2 part3

πŸ“ slide

πŸ“²Channel: @ComplexNetworkAnalysis

#video #course #Graph #Machine_Learning #Knowledge_Graph
πŸ‘1
πŸ“„Construction of Knowledge Graphs: Current State and Challenges

πŸ—“Publish year: 2023

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Current_State
#Challenges
❀2πŸ‘2
Forwarded from Bioinformatics
πŸ“„ A comprehensive review on knowledge graphs for complex diseases

πŸ“˜ Journal: Briefings in Bioinformatics (I.F.=9.5)
πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»Authors: Yang Yang, Yuwei Lu, Wenying Yan
🏒University: Soochow University, Suzhou, China

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #knowledge_graph #diease
πŸ‘2
πŸ“ƒ A systematic literature review of knowledge graph construction and application in education

πŸ“˜ Journal: Heliyon (I.F=4)
πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»Authors: Bilal Abu-Salih , Salihah Alotaibi
🏒Universities: The University of Jordan, Imam Mohammad Ibn Saud Islamic University (IMSIU),

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#review #knowledge_graph #education #review
πŸ‘5
πŸ“ƒ Drug-drug interactions prediction based on deep learning and knowledge graph: a review

πŸ“˜ Journal: iScience (I.F=6.107)
πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»Authors: Huimin Luo, Weijie Yin, Jianlin Wang, Wenjuan Liang, Junwei Luo, Chaokun Yan
🏒University: Henan University, Kaifeng, China, Henan Polytechnic University, Jiaozuo, China

πŸ“Ž Study the paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Drug #prediction #Deep_learning #knowledge_graph #review
πŸ‘1
πŸ“ƒ A Bibliometric Analysis of Recent Developments and Trends in Knowledge Graph Research (2013–2022)

πŸ“— Journal: IEEE ACCESS (I.F=3.9)
πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»Authors: GANG WANG, JING HE
🏒Universities: Chaohu University

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Bibliometric #Knowledge_Graph
πŸ‘4
πŸ“ƒ A Survey on Temporal Knowledge Graph: Representation Learning and Applications

πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»Authors: JLi Cai, Xin Mao, Yuhao Zhou, Zhaoguang Long, Changxu Wu, Man Lan
🏒Universities: East China Nomal University, Guizhou University, Tsinghua University

πŸ“Ž Study the paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Temporal #Knowledge_Graph #Representation_Learning #Application #survey
πŸ‘3πŸ‘2
πŸ“ƒ Knowledge Graphs and their Applications in Civil Security

πŸ—“ Publish year: 2020

πŸ§‘β€πŸ’»Authors: Simon Ott, Daria Liakhovets, Mina SchΓΌtz, Medina Andresel, Mihai Bartha, Sven Schlarb, Alexander Schindler
🏒University: Austrian Institute of Technology GmbH
Giefinggasse 4, 1210 Vienna, Austria

πŸ“Ž Study the paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Application #Civil_Security
πŸ‘1
πŸ“ƒKnowledge Graph Embedding: An Overview

πŸ—“ Publish year: 2024
πŸ“˜ Journal: APSIPA Transactions on Signal and Information Processing (I.F=3.2)

πŸ§‘β€πŸ’»Authors: Xiou Ge, Yun Cheng Wang, Bin Wang, C.-C. Jay Kuo
🏒Universities: University of Southern California, Institute for Infocomm Research (I2R)

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Overview #Knowledge_Graph
πŸ‘4
πŸ“ƒ Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities

πŸ—“ Publish year: 2023
πŸ“˜Journal: Transactions on Graph Data and Knowledge (TGDK)

πŸ§‘β€πŸ’»Authors: Jiaoyan Chen, Hang Dong, Janna Hastin, Ernesto JimΓ©nez-Ruiz, Vanessa LΓ³pez, Pierre Monnin, Catia Pesquita, Petr Ε koda, Valentina Tamm
🏒Universities: University of Manchester, University of Oxford, University of Zurich, Switzerland, University of London, UniversitΓ© CΓ΄te d’Azur, Inria, Charles University, Prague, Czechia

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Life_Sciences #Developments #Challenges #Opportunities
πŸ‘5
πŸ“ƒHealthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities

πŸ—“ Publish year: 2023
πŸ“˜Journal: Journal of Big Data

πŸ§‘β€πŸ’»Authors: Bilal Abu-Salih, Muhammad AL-Qurishi, Mohammed Alweshah, Mohammad AL-Smadi, Reem Alfayez and Heba Saadeh
🏒Universities: The University of Jordan, Amman, Jordan
King Saud University, Riyadh, Saudi Arabia
Al-Balqa Applied University, Salt, Jordan


πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Healthcare #Knowledge_Graph #open_issues #opportunities #review
πŸ‘1
πŸ“ƒA Comprehensive Survey on Automatic Knowledge Graph Construction

πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»Authors: LINGFENG ZHONG, JIA WU, QIAN LI, HAO PENG, XINDONG WU
🏒Universities: Macquarie University, Beihang University, Hefei University of Technology

πŸ“Ž Study paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Graph #knowledge_graph #Survey
πŸ‘3
πŸŽ₯ Knowledge graphs - Foundations and applications

🎞 Watch the collection

⚑️Channel: @ComplexNetworkAnalysis
#video #knowledge_graph
πŸ“„Knowledge Graph Construction: Extraction, Learning, and Evaluation

πŸ“™ Journal: Applied Sciences (I.F.=2.5)
πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors: Seungmin Choi and Yuchul Jung
🏒Universities: Kumoh National Institute of Technology, Republic of Korea

πŸ“Ž Study the paper

⚑️Channel: @ComplexNetworkAnalysis
#review #knowledge_graph
πŸ“ƒ A Survey of Link Prediction in N-ary Knowledge Graphs

πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»Authors: Jiyao Wei, Saiping Guan, Da Li,...
🏒University: University of Chinese Academy of Sciences, China

πŸ“Ž Study the paper

⚑️Channel: @ComplexNetworkAnalysis
#review #link_prediction #n_ary #knowledge_graph