📄A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
📘 Journal: Journal of Big Data (I.F=10.835)
🗓Publish year: 2024
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #GNN #GraphSage #GAT #Survey
📘 Journal: Journal of Big Data (I.F=10.835)
🗓Publish year: 2024
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #GNN #GraphSage #GAT #Survey
📄A survey on deep learning based Point-of-Interest (POI) recommendations
📘 Journal: Neurocomputing (I.F= 6)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #POI #recommendation #survey
📘 Journal: Neurocomputing (I.F= 6)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #POI #recommendation #survey
📄Toward Point-of-Interest Recommendation Systems: A Critical Review on Deep-Learning Approaches
📘 Journal: Electronics (I.F=10.835)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Recommendation_Systems #Deep_Learning #Review
📘 Journal: Electronics (I.F=10.835)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Recommendation_Systems #Deep_Learning #Review
📄A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
📘 Journal: J BIG DATA-GER (I.F= 8.1)
🗓Publish year: 2024
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #architectures #applications #future #review
📘 Journal: J BIG DATA-GER (I.F= 8.1)
🗓Publish year: 2024
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #architectures #applications #future #review
📄Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions
🗓Publish year: 2023
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Biomedicine #GRL
🗓Publish year: 2023
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Biomedicine #GRL
📄A Survey on Hypergraph Mining: Patterns, Tools, and
Generators
🗓Publish year: 2024
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Hypergraph #Patterns #Tools #Generators #Survey
Generators
🗓Publish year: 2024
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Hypergraph #Patterns #Tools #Generators #Survey
📄Network embedding: Taxonomies, frameworks and applications
📘 Journal: Computer Science Review (I.F= 12.9)
🗓Publish year: 2020
👩🎓Authors: Mingliang Hou (Dalian University of Technology), Jing Ren (Dalian University of Technology), Da Zhang (University of Miami), Xiangjie Kong (Zhejiang University of Technology), Dongyu Zhang (Dalian University of Technology), Feng Xia (Federation University Australia)
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #embedding #Taxonomies #frameworks #applications
📘 Journal: Computer Science Review (I.F= 12.9)
🗓Publish year: 2020
👩🎓Authors: Mingliang Hou (Dalian University of Technology), Jing Ren (Dalian University of Technology), Da Zhang (University of Miami), Xiangjie Kong (Zhejiang University of Technology), Dongyu Zhang (Dalian University of Technology), Feng Xia (Federation University Australia)
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #embedding #Taxonomies #frameworks #applications
📃 A Review of Link Prediction Applications in Network Biology
🗓 Publish year: 2023
🧑💻Authors: Ahmad F. Al Musawi, Satyaki Roy, Preetam Ghosh
🏢Universities: Virginia Commonwealth University, University of Alabama in Huntsville
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📲Channel: @ComplexNetworkAnalysis
#review #Network_Biology #Link_Prediction
🗓 Publish year: 2023
🧑💻Authors: Ahmad F. Al Musawi, Satyaki Roy, Preetam Ghosh
🏢Universities: Virginia Commonwealth University, University of Alabama in Huntsville
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📲Channel: @ComplexNetworkAnalysis
#review #Network_Biology #Link_Prediction
📹 Graph Embedding For Machine Learning in Python
💥In this video, you will learn how to embed graphs into n-dimensional space to use them for machine learning.
🎞 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Graph_Embedding #Machine_Learning
💥In this video, you will learn how to embed graphs into n-dimensional space to use them for machine learning.
🎞 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Graph_Embedding #Machine_Learning
YouTube
Graph Embedding For Machine Learning in Python
In this video, we learn how to embed graphs into n-dimensional space to use them for machine learning.
DeepWalk Paper: https://arxiv.org/abs/1403.6652
◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾
📚 Programming Books & Merch 📚
🐍 The Python Bible Book: https://www.neuralnine.com/books/…
DeepWalk Paper: https://arxiv.org/abs/1403.6652
◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾
📚 Programming Books & Merch 📚
🐍 The Python Bible Book: https://www.neuralnine.com/books/…
📃 Graph Neural Network: A Comprehensive Review on Non-Euclidean Space
📔 Journal: IEEE ACCESS (I.F.=3.9)
🗓 Publish year: 2021
🧑💻Authors: Nurul A. Asif, Yeahia Sarker, Ripon K. Chakrabortty, Michael J. Ryan, Md. Hafiz Ahamed, Dip K. Saha, Faisal R. Badal, Sajal K. Das, Md. Firoz Ali, Sumaya I. Moyeen, Md. Robiul Islam, Zinat Tasneem
🏢Universities: Rajshahi University of Engineering & Technology, University of New South Wales (UNSW) at Canberra
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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Non_Euclidean #review
📔 Journal: IEEE ACCESS (I.F.=3.9)
🗓 Publish year: 2021
🧑💻Authors: Nurul A. Asif, Yeahia Sarker, Ripon K. Chakrabortty, Michael J. Ryan, Md. Hafiz Ahamed, Dip K. Saha, Faisal R. Badal, Sajal K. Das, Md. Firoz Ali, Sumaya I. Moyeen, Md. Robiul Islam, Zinat Tasneem
🏢Universities: Rajshahi University of Engineering & Technology, University of New South Wales (UNSW) at Canberra
📎 Study the paper
📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Non_Euclidean #review
Forwarded from Bioinformatics
📄 A comprehensive review on knowledge graphs for complex diseases
📘 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2023
🧑💻Authors: Yang Yang, Yuwei Lu, Wenying Yan
🏢University: Soochow University, Suzhou, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #knowledge_graph #diease
📘 Journal: Briefings in Bioinformatics (I.F.=9.5)
🗓 Publish year: 2023
🧑💻Authors: Yang Yang, Yuwei Lu, Wenying Yan
🏢University: Soochow University, Suzhou, China
📎 Study the paper
📲Channel: @Bioinformatics
#review #knowledge_graph #diease
📄An Interactive Visualisation for Your Graph Neural Network Explanations
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Visualisation #Graph_Neural_Network
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Visualisation #Graph_Neural_Network
Medium
An Interactive Visualisation for your Graph Neural Network Explanations
A step-by-step guide on how to build one in five easy steps, with code already written for you.
📄 A systematic literature review of methods and datasets for anomaly-based network intrusion detection
📘 Journal: Computers & Security (I.F=5.6)
🗓 Publish year: 2022
🧑💻Authors: Zhen Yang , Xiaodong Liu, Tong Li, Di Wu, Jinjiang Wang, Yunwei Zhao, Han Han
🏢University: Beijing University of Technology, Beijing, China
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📱Channel: @ComplexNetworkAnalysis
#paper #anomaly #intrusion #review
📘 Journal: Computers & Security (I.F=5.6)
🗓 Publish year: 2022
🧑💻Authors: Zhen Yang , Xiaodong Liu, Tong Li, Di Wu, Jinjiang Wang, Yunwei Zhao, Han Han
🏢University: Beijing University of Technology, Beijing, China
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📱Channel: @ComplexNetworkAnalysis
#paper #anomaly #intrusion #review
📃 A systematic literature review of knowledge graph construction and application in education
📘 Journal: Heliyon (I.F=4)
🗓 Publish year: 2023
🧑💻Authors: Bilal Abu-Salih , Salihah Alotaibi
🏢Universities: The University of Jordan, Imam Mohammad Ibn Saud Islamic University (IMSIU),
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#review #knowledge_graph #education #review
📘 Journal: Heliyon (I.F=4)
🗓 Publish year: 2023
🧑💻Authors: Bilal Abu-Salih , Salihah Alotaibi
🏢Universities: The University of Jordan, Imam Mohammad Ibn Saud Islamic University (IMSIU),
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#review #knowledge_graph #education #review
📃 A Comprehensive Survey on Graph Summarization with Graph Neural Networks
📘 Journal: IEEE Transactions on Artificial Intelligence
🗓 Publish year: 2024
🧑💻Authors: Nasrin Shabani , Jia Wu, Amin Beheshti, Quan Z. Sheng, Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar
🏢University: Macquarie University, NSW, Australia
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Summarization #GNN #Survey
📘 Journal: IEEE Transactions on Artificial Intelligence
🗓 Publish year: 2024
🧑💻Authors: Nasrin Shabani , Jia Wu, Amin Beheshti, Quan Z. Sheng, Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar
🏢University: Macquarie University, NSW, Australia
📎 Study the paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Summarization #GNN #Survey
📃 Integrating sentiment analysis with graph neural networks for enhanced stock prediction: A comprehensive survey
📘 Journal: Decision Analytics Journal
🗓 Publish year: 2024
🧑💻Authors: Nabanita Das, Bikash Sadhukhan, Rajdeep Chatterjee, Satyajit Chakrabarti
🏢University: University of Engineering & Management, Kolkata-700160, India
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📱Channel: @ComplexNetworkAnalysis
#paper #Integrating #sentiment #GNN #stock #prediction #survey
📘 Journal: Decision Analytics Journal
🗓 Publish year: 2024
🧑💻Authors: Nabanita Das, Bikash Sadhukhan, Rajdeep Chatterjee, Satyajit Chakrabarti
🏢University: University of Engineering & Management, Kolkata-700160, India
📎 Study the paper
📱Channel: @ComplexNetworkAnalysis
#paper #Integrating #sentiment #GNN #stock #prediction #survey