📄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)
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📱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)
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📱Channel: @ComplexNetworkAnalysis
#paper #embedding #Taxonomies #frameworks #applications
👍1
📃 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
👍5❤3👏1
📹 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
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📚 Programming Books & Merch 📚
🐍 The Python Bible Book: https://www.neuralnine.com/books/…
DeepWalk Paper: https://arxiv.org/abs/1403.6652
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📚 Programming Books & Merch 📚
🐍 The Python Bible Book: https://www.neuralnine.com/books/…
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📃 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
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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Non_Euclidean #review
👍4
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
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📲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
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📲Channel: @Bioinformatics
#review #knowledge_graph #diease
👍2
📄An Interactive Visualisation for Your Graph Neural Network Explanations
💥Technical paper
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📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Visualisation #Graph_Neural_Network
💥Technical paper
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📲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.
👍3
📄 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
👍2
📃 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),
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📲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),
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📲Channel: @ComplexNetworkAnalysis
#review #knowledge_graph #education #review
👍5
📃 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
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Summarization #GNN #Survey
👍3
📃 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
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📱Channel: @ComplexNetworkAnalysis
#paper #Integrating #sentiment #GNN #stock #prediction #survey
👍3❤1
📃 Drug-drug interactions prediction based on deep learning and knowledge graph: a review
📘 Journal: iScience (I.F=6.107)
🗓 Publish year: 2024
🧑💻Authors: Huimin Luo, Weijie Yin, Jianlin Wang, Wenjuan Liang, Junwei Luo, Chaokun Yan
🏢University: Henan University, Kaifeng, China, Henan Polytechnic University, Jiaozuo, China
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📱Channel: @ComplexNetworkAnalysis
#paper #Drug #prediction #Deep_learning #knowledge_graph #review
📘 Journal: iScience (I.F=6.107)
🗓 Publish year: 2024
🧑💻Authors: Huimin Luo, Weijie Yin, Jianlin Wang, Wenjuan Liang, Junwei Luo, Chaokun Yan
🏢University: Henan University, Kaifeng, China, Henan Polytechnic University, Jiaozuo, China
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📱Channel: @ComplexNetworkAnalysis
#paper #Drug #prediction #Deep_learning #knowledge_graph #review
👍1
📃 Graph Condensation: A Survey
🗓 Publish year: 2024
🧑💻Authors: Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin
🏢Universities: The University of Queensland, Brisbane, Australia and Peking University, Beijing, China
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Condensation #Survey
🗓 Publish year: 2024
🧑💻Authors: Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin
🏢Universities: The University of Queensland, Brisbane, Australia and Peking University, Beijing, China
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Condensation #Survey
👍1
Forwarded from Bioinformatics
📄Application of Multilayer Network Models in Bioinformatics
📗 Journal: Oral Diseases (I.F.=3.7)
🗓 Publish year: 2023
🧑💻Authors: Yuanyuan Lv, Shan Huang, Tianjiao Zhang. Bo Gao
🏢Universities: Hainan Normal University, Haikou, China - Northeast Forestry University, Harbin, China
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📲Channel: @Bioinformatics
#review #multilayer #network
📗 Journal: Oral Diseases (I.F.=3.7)
🗓 Publish year: 2023
🧑💻Authors: Yuanyuan Lv, Shan Huang, Tianjiao Zhang. Bo Gao
🏢Universities: Hainan Normal University, Haikou, China - Northeast Forestry University, Harbin, China
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📲Channel: @Bioinformatics
#review #multilayer #network
👍5
📄Make interactive network graphs
💥Technical Paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Visualisation #Charts
💥Technical Paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Visualisation #Charts
Flourish
Make interactive network graphs without coding
Make an interactive network graph for free with Flourish. Animated node links make this chart type great for displaying connections and relationships.
👍3🔥1
📄Network Graphs in Python
💥Technical Paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #code #python #Visualisation
💥Technical Paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #code #python #Visualisation
Plotly
Network
Detailed examples of Network Graphs including changing color, size, log axes, and more in Python.
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Human_DNARNA_motif_mining_using_deep_learning_methods_a_scoping.pdf
2.3 MB
📃 Human DNA/RNA motif mining using deep-learning methods: a scoping review
📘 Journal: Network Modeling Analysis in Health Informatics and Bioinformatics (I.F=1.077)
🗓 Publish year: 2023
🧑💻Authors: Rajashree Chaurasia & Udayan Ghose
🏢Universities: Guru Gobind Singh Indraprastha University
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📲Channel: @ComplexNetworkAnalysis
#paper #motif #education #review #DNA #RNA #deep_learning
📘 Journal: Network Modeling Analysis in Health Informatics and Bioinformatics (I.F=1.077)
🗓 Publish year: 2023
🧑💻Authors: Rajashree Chaurasia & Udayan Ghose
🏢Universities: Guru Gobind Singh Indraprastha University
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📲Channel: @ComplexNetworkAnalysis
#paper #motif #education #review #DNA #RNA #deep_learning
👍4❤1
📄Graph Neural Networks
💥In this video, you will learn the application of neural networks on graphs.
💥Graph Neural Networks (GNNs) have recently gained increasing popularity in both applications and research, including domains such as social networks, knowledge graphs, recommender systems, and bioinformatics. While the theory and math behind GNNs might first seem complicated, the implementation of those models is quite simple and helps in understanding the methodology. Therefore, this webinar will discuss the implementation of basic network layers of a GNN, namely graph convolutions, and attention layers. Finally, we will apply a GNN on a node-level, edge-level, and graph-level tasks.
🎞Watch: part1 part2
👨💻Code
📲Channel: @ComplexNetworkAnalysis
#Video #Graph #code #python #Colab #GNN
💥In this video, you will learn the application of neural networks on graphs.
💥Graph Neural Networks (GNNs) have recently gained increasing popularity in both applications and research, including domains such as social networks, knowledge graphs, recommender systems, and bioinformatics. While the theory and math behind GNNs might first seem complicated, the implementation of those models is quite simple and helps in understanding the methodology. Therefore, this webinar will discuss the implementation of basic network layers of a GNN, namely graph convolutions, and attention layers. Finally, we will apply a GNN on a node-level, edge-level, and graph-level tasks.
🎞Watch: part1 part2
👨💻Code
📲Channel: @ComplexNetworkAnalysis
#Video #Graph #code #python #Colab #GNN
YouTube
Tutorial 7: Graph Neural Networks (Part 1)
In this tutorial, we will discuss the application of neural networks on graphs. Graph Neural Networks (GNNs) have recently gained increasing popularity in both applications and research, including domains such as social networks, knowledge graphs, recommender…
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📃 Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions
🗓 Publish year: 2023
🧑💻Authors: Fang Li, Yi Nian, Zenan Sun, Cui Tao
🏢Universities: the University of Texas Health Science Center at Houston
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📲Channel: @ComplexNetworkAnalysis
#paper #Biomedicine #GRL
🗓 Publish year: 2023
🧑💻Authors: Fang Li, Yi Nian, Zenan Sun, Cui Tao
🏢Universities: the University of Texas Health Science Center at Houston
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📲Channel: @ComplexNetworkAnalysis
#paper #Biomedicine #GRL
👍4👏1
📃 The importance of graph databases and graph learning for clinical applications
📗 Journal: The Journal of Biological Databases & Curation (I.F=4.6)
🗓 Publish year: 2023
🧑💻Authors: Daniel Walke, Daniel Micheel, Kay Schallert, Thilo Muth, David Broneske, Gunter Saake, Robert Heyer
🏢Universities: Otto von Guericke University
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📲Channel: @ComplexNetworkAnalysis
#paper #clinical_applications #graph_learning
📗 Journal: The Journal of Biological Databases & Curation (I.F=4.6)
🗓 Publish year: 2023
🧑💻Authors: Daniel Walke, Daniel Micheel, Kay Schallert, Thilo Muth, David Broneske, Gunter Saake, Robert Heyer
🏢Universities: Otto von Guericke University
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📲Channel: @ComplexNetworkAnalysis
#paper #clinical_applications #graph_learning
👍8
📄Network graph
💥Technical Paper
💥 A network graph is a chart that displays relations between elements (nodes) using simple links. Network graph allows us to visualize clusters and relationships between the nodes quickly; the chart is often used in industries such as life science, cybersecurity, intelligence, etc.
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #code #Visualisation
💥Technical Paper
💥 A network graph is a chart that displays relations between elements (nodes) using simple links. Network graph allows us to visualize clusters and relationships between the nodes quickly; the chart is often used in industries such as life science, cybersecurity, intelligence, etc.
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #code #Visualisation
Highcharts Blog | Highcharts
Network graph – Highcharts Blog | Highcharts
Learn how to create an interactive network graph using Highcharts.
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