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📄Graph Neural Networks
💥Technical Paper about, 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, we 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
📃 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
📄Network Graphs in Python
💥Technical Paper
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📲Channel: @ComplexNetworkAnalysis
#paper #Graph #code #python #Visualisation
📄Make interactive network graphs
💥Technical Paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Visualisation #Charts
Repost 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
📃 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
📃 Drug-drug interactions prediction based on deep learning and knowledge graph: a review
📘 Journal: iScience
🗓 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
📃 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
📃 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
📃 A systematic literature review of knowledge graph construction
and application in education
🗓 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
📄 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
📄 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: @Bioinformatics
#paper #anomaly #intrusion #review
📄 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: @Bioinformatics
#review #anomaly #intrusion #review
📄An Interactive Visualisation for Your Graph Neural Network Explanations
💥Technical paper
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📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Visualisation #Graph_Neural_Network
Repost 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
📃 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: @Bioinformatics
#paper #GNN #Non_Euclidean #review
📹 Graph Embedding For Machine Learning in Python
💥In this video, you will be learn how to embed graphs into n-dimensional space to use them for machine learning.
🎞 Watch
📲Channel: @ComplexNetworkAnalysis
#video #Graph_Embedding #Machine_Learning
📃 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
+1📄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
+1📄A Survey on Hypergraph Mining: Patterns, Tools, and
Generators
🗓Publish year: 2024
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Hypergraph #Patterns #Tools #Generators #Survey
