Self-Supervised Temporal Graph Learning ο»Ώ.pdf
928 KB
πSelf-Supervised Temporal Graph Learning with Temporal and Structural Intensity Alignment
π Publish year: 2024
π§βπ»Authors: Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang ZhouΨ Xinbiao Gan, Xinwang Liu
π’Universities: National University of Defense Technology
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #SelfSupervised
π Publish year: 2024
π§βπ»Authors: Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang ZhouΨ Xinbiao Gan, Xinwang Liu
π’Universities: National University of Defense Technology
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #SelfSupervised
π An Introduction to Graph Neural Networks: Models and Applications
π₯Free Recorded Lecture on Applications of Graph Neural Networks.
πΉGraph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph β encoding the information of individual elements as nodes and their relationships as edges β GNNs learn to capture patterns within the graph. These networks have been successfully used in applications such as chemistry and program analysis. In this introductory talk, I will do a deep dive in the neural message-passing GNNs, and show how to create a simple GNN implementation.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #GNN #Application
π₯Free Recorded Lecture on Applications of Graph Neural Networks.
πΉGraph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph β encoding the information of individual elements as nodes and their relationships as edges β GNNs learn to capture patterns within the graph. These networks have been successfully used in applications such as chemistry and program analysis. In this introductory talk, I will do a deep dive in the neural message-passing GNNs, and show how to create a simple GNN implementation.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #GNN #Application
YouTube
An Introduction to Graph Neural Networks: Models and Applications
MSR Cambridge, AI Residency Advanced Lecture Series
An Introduction to Graph Neural Networks: Models and Applications
Got it now: "Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph β encodingβ¦
An Introduction to Graph Neural Networks: Models and Applications
Got it now: "Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph β encodingβ¦
π3D Clustering with Graph Theory: The Complete Guide with Python
π₯ Technical paper
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#clustering #python
π₯ Technical paper
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#clustering #python
Towards Data Science
Your home for data science and AI. The worldβs leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.
π Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities
π₯Temporal Graph Learning Reading Group
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #GNN #Temporal #Challenges #Opportunities
π₯Temporal Graph Learning Reading Group
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #GNN #Temporal #Challenges #Opportunities
YouTube
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities
Temporal Graph Learning Reading Group
Paper: "Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities"
Speaker: Veronica Lachi
Date: Feb. 29, 2024
Paper: "Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities"
Speaker: Veronica Lachi
Date: Feb. 29, 2024
πEnsemble approaches for Link Prediction
πMSc thesis from The University in Stuttgart, Germany
πPublish year: 2024
π Study thesis
β‘οΈChannel: @ComplexNetworkAnalysis
#thesis #link_prediction
πMSc thesis from The University in Stuttgart, Germany
πPublish year: 2024
π Study thesis
β‘οΈChannel: @ComplexNetworkAnalysis
#thesis #link_prediction
Machine Learning for Refining Knowledge Graph.pdf
2.4 MB
πMachine Learning for Refining Knowledge Graphs: A Survey
π Publish year: 2024
π§βπ»Authors: BUDHITAMA SUBAGDJA, D. SHANTHOSHIGAA, ZHAOXIA WANG, and AH-HWEE TAN
π’Universities: Singapore Management University
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #ML #Survey
π Publish year: 2024
π§βπ»Authors: BUDHITAMA SUBAGDJA, D. SHANTHOSHIGAA, ZHAOXIA WANG, and AH-HWEE TAN
π’Universities: Singapore Management University
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #ML #Survey
πCurrent and future directions in network biology
π Publish year: 2023
πJournal: Bioinformatics Advances (I.F=2.4)
π§βπ»Authors: Marinka Zitnik, Michelle M. Li, Aydin Wells, Kimberly Glass, ...
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Biology #Direction
π Publish year: 2023
πJournal: Bioinformatics Advances (I.F=2.4)
π§βπ»Authors: Marinka Zitnik, Michelle M. Li, Aydin Wells, Kimberly Glass, ...
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Biology #Direction
πSelf-Supervised Learning for Graph-Structured Data in Healthcare Applications: A Comprehensive Review
π Publish year: 2024
π§βπ»Authors: Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss, ...
π’Universities: Prince Sultan University, Saudi Arabia - University of Manouba, Manouba , Tunisia
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #self_supervised #gnn
π Publish year: 2024
π§βπ»Authors: Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss, ...
π’Universities: Prince Sultan University, Saudi Arabia - University of Manouba, Manouba , Tunisia
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #self_supervised #gnn
πIntroducing New Node Prediction in Graph Mining:
Predicting All Links from Isolated Nodes with Graph
Neural Networks
π Publish year: 2024
π§βπ»Authors: Damiano Zanardinia, Emilio Serrano
π’Universities: Departamento de Inteligencia Artificial, ETSI InformΒ΄aticos, Universidad PolitΒ΄ecnica de Madrid, 28660 Boadilla del Monte, Madrid, Spain
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Node #prediction #Isolated
Predicting All Links from Isolated Nodes with Graph
Neural Networks
π Publish year: 2024
π§βπ»Authors: Damiano Zanardinia, Emilio Serrano
π’Universities: Departamento de Inteligencia Artificial, ETSI InformΒ΄aticos, Universidad PolitΒ΄ecnica de Madrid, 28660 Boadilla del Monte, Madrid, Spain
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #GNN #Node #prediction #Isolated
A Comprehensive Survey on Automatic Knowledge.pdf
2.4 MB
πA Comprehensive Survey on Automatic Knowledge Graph Construction
π Publish year: 2023
π§βπ»Authors: LINGFENG ZHONG, JIA WU, QIAN LI, HAO PENG,
π’Universities: Macquarie University, Beihang University, Hefei University of Technology.
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #KnowledgeGraph #Survey
π Publish year: 2023
π§βπ»Authors: LINGFENG ZHONG, JIA WU, QIAN LI, HAO PENG,
π’Universities: Macquarie University, Beihang University, Hefei University of Technology.
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #KnowledgeGraph #Survey
π Network Analyse in R and Python
π₯Technical paper
π Study
π²Channel: @ComplexNetworkAnalysis
#Network #Analyses #python #code #R
π₯Technical paper
π Study
π²Channel: @ComplexNetworkAnalysis
#Network #Analyses #python #code #R
infoguides.gmu.edu
InfoGuides: Network Analysis: Networks in R and Python
This guide defines network analysis and discusses several network analysis tools and methods
πPublic Health Using Social Network Analysis During the COVID-19 Era: A Systematic Review
π Publish year: 2024
πJournal: Information (I.F=2.4)
π§βπ»Authors: Stanislava GardasevicΨ Aditi JaiswalΨ Manika LambaΨ Jena FunakoshiΨ Kar-Hai ChuΨ Aekta ShahΨ Yinan SunΨ Pallav PokhrelΨ Peter Washington
π’Universities: University of Hawaiβi at MΔnoa, University of Hawaiβi at MΔnoa, University of Oklahoma, University of Hawaiβi at MΔnoa, University of Pittsburgh, Unaffiliated Researcher, University of Hawaiβi Cancer Center
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Health #COVID_19 #review
π Publish year: 2024
πJournal: Information (I.F=2.4)
π§βπ»Authors: Stanislava GardasevicΨ Aditi JaiswalΨ Manika LambaΨ Jena FunakoshiΨ Kar-Hai ChuΨ Aekta ShahΨ Yinan SunΨ Pallav PokhrelΨ Peter Washington
π’Universities: University of Hawaiβi at MΔnoa, University of Hawaiβi at MΔnoa, University of Oklahoma, University of Hawaiβi at MΔnoa, University of Pittsburgh, Unaffiliated Researcher, University of Hawaiβi Cancer Center
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Health #COVID_19 #review
π Application of graph theory in liver research: A review
π Publish year: 2024
πJournal: Portal Hypertension & Cirrhosis
π§βπ»Authors: Xumei Hu, Longyu Sun, Rencheng Zheng, ...
π’Universities: Fudan University, China
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #liver #graph
π Publish year: 2024
πJournal: Portal Hypertension & Cirrhosis
π§βπ»Authors: Xumei Hu, Longyu Sun, Rencheng Zheng, ...
π’Universities: Fudan University, China
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #liver #graph
πCan social network analysis contribute to supply chain
management? A systematic literature review and
bibliometric analysis
π Publish year: 2024
πJournal: Heliyon (I.F=3.4)
π§βπ»Authors: Hesham Fouad, NazarΒ΄e Rego
π’Universities: Arab Academy for Science, Technology and Maritime Transport, Aswan, Egypt.
School of Economics and Management, University of Minho, Braga, Portugal.
NIPE, School of Economics and Management, University of Minho, Braga, Portugal.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #contribute #supply #managemen #bibliometric
management? A systematic literature review and
bibliometric analysis
π Publish year: 2024
πJournal: Heliyon (I.F=3.4)
π§βπ»Authors: Hesham Fouad, NazarΒ΄e Rego
π’Universities: Arab Academy for Science, Technology and Maritime Transport, Aswan, Egypt.
School of Economics and Management, University of Minho, Braga, Portugal.
NIPE, School of Economics and Management, University of Minho, Braga, Portugal.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #contribute #supply #managemen #bibliometric
π A Comprehensive Survey on Knowledge-Defined Networking
π Publish year: 2024
πJournal: Telecom (I.F=2.1)
π§βπ»Authors: Patikiri Arachchige Don Shehan Nilmantha Wijesekara & Subodha Gunawardena
π’Universities: University of Ruhuna, Sri Lanka
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #knowledge
π Publish year: 2024
πJournal: Telecom (I.F=2.1)
π§βπ»Authors: Patikiri Arachchige Don Shehan Nilmantha Wijesekara & Subodha Gunawardena
π’Universities: University of Ruhuna, Sri Lanka
π Study paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #knowledge
Distributed Graph Neural Network Training.pdf
1.9 MB
πDistributed Graph Neural Network Training: A Survey
π Publish year: 2023
π§βπ»Authors: YINGXIA SHAOΨ HONGZHENG LI, HONGBO YIN, XIZHI GUΨ WENTAO ZHANG,...
π’Universities: Beijing University of Posts and Telecommunications, Carnegie Mellon University, The Hong Kong University of Science and Technology (Guangzhou), Peking University.
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #Distributed #Survey
π Publish year: 2023
π§βπ»Authors: YINGXIA SHAOΨ HONGZHENG LI, HONGBO YIN, XIZHI GUΨ WENTAO ZHANG,...
π’Universities: Beijing University of Posts and Telecommunications, Carnegie Mellon University, The Hong Kong University of Science and Technology (Guangzhou), Peking University.
π Study paper
π²Channel: @ComplexNetworkAnalysis
#paper #Graph #Distributed #Survey
π₯ Social Network Analysis in Kumu Tool
πΉ Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #tool
πΉ Watch
β‘οΈChannel: @ComplexNetworkAnalysis
#video #tool
YouTube
7. Social Network Analysis in Kumu: Metrics & Community Detection
In this webinar we dive into the world of Social Network Analysis (SNA), a powerful method for analyzing and understanding the relationships, interactions, and structures within networks of social entities.
Whether you're exploring connections between individualsβ¦
Whether you're exploring connections between individualsβ¦
πLeading by the nodes: a survey of film industry network analysis and datasets
π Publish year: 2024
πJournal: Applied Network Science (I.F=1.3)
π§βπ»Authors: Aresh Dadlani, Vi Vo, Ayushi Khemka, Sophie Talalay Harvey, Aigul Kantoro Kyzy, Pete Jones & Deb Verhoeven
π’Universities: Department of Mathematics and Computing, Mount Royal University, Calgary, Alberta, Canada.
Faculty of Arts, University of Alberta, Edmonton, Alberta, Canada.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #nodes #film #industry #survey
π Publish year: 2024
πJournal: Applied Network Science (I.F=1.3)
π§βπ»Authors: Aresh Dadlani, Vi Vo, Ayushi Khemka, Sophie Talalay Harvey, Aigul Kantoro Kyzy, Pete Jones & Deb Verhoeven
π’Universities: Department of Mathematics and Computing, Mount Royal University, Calgary, Alberta, Canada.
Faculty of Arts, University of Alberta, Edmonton, Alberta, Canada.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #nodes #film #industry #survey