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Post #1063 1.29K
Post #1062 953
📃 Graph neural networks for clinical risk prediction based on electronic health records: A survey

📘 Journal: Journal of Biomedical Informatics (I.F=4.5)
🗓 Publish year: 2024

🧑‍💻Authors: Heloísa Oss Boll, Ali Amirahmadi, Mirfarid Musavian Ghazani, Wagner Ourique de Morais, Edison Pignaton de Freitas, Amira Soliman, Farzaneh Etminani, Stefan Byttner, Mariana Recamonde-Mendoza
🏢Universities: Universidade Federal do Rio Grande do Sul, Halmstad University

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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #risk #prediction #electronic #health #survey
  • 👍 3
Post #1060 964
📃 A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics

📗 Journal: Social Network Analysis and Mining (I.F=2.8)
🗓 Publish year: 2023

🧑‍💻Authors: Mudasir Malla, Adil ; Banka, Asif Ali
🏢Universities: Islamic University of Science & Technology

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📲Channel: @ComplexNetworkAnalysis
#paper #Bioinformatics #Deep_GNN #Review
  • 👍 3
  • 👏 1
Post #1059 939
📃 A Literature Review of Recent Graph Embedding Techniques for Biomedical Data

📘Conference: International Conference on Neural Information Processing
🗓 Publish year: 2021

🧑‍💻Authors: Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King
🏢University: The Chinese University of Hong Kong

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📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Embedding #Biomedical #review
  • 👍 5
Post #1058 874
📃 A survey on bipartite graphs embedding

📗 Journal: Social Network Analysis and Mining (I.F=2.8)
🗓 Publish year: 2023

🧑‍💻Authors: Edward Giamphy, Jean‑Loup Guillaume, Antoine Doucet, Kevin Sanchis
🏢Universities: La Rochelle University

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📲Channel: @ComplexNetworkAnalysis
#paper #bipartite #graph_Embedding #survey
  • 👍 4
Post #1057 1.01K
📃 Network analytics: an introduction and illustrative applications in health data science

📘 Journal: Journal of Information Technology Case and Application Research
🗓 Publish year: 2023

🧑‍💻Authors: Pankush Kalgotra, Ramesh Sharda
🏢Universities: Auburn University, Oklahoma State University

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📱Channel: @ComplexNetworkAnalysis
#paper #applications #health #data_science
  • 👍 2
  • ❤ 1
Post #1056 1.58K
📃 Understanding Graph Embedding Methods and Their Applications

📗 Journal: Society for Industrial and Applied Mathematic (I.F=1.698)
🗓 Publish year: 2021

🧑‍💻Authors: Mengjia Xu
🏢Universities: Massachusetts Institute of Technology

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📲Channel: @ComplexNetworkAnalysis
#paper #Applications #graph_Embedding
  • 👍 2
Post #1055 4.86K
📃 Graph-Theoretical Analysis of Biological Networks: A Survey

📘 Journal: Computation (I.F=2.2)
🗓 Publish year: 2023

🧑‍💻Author: Kayhan Erciyes
🏢University: Marmara University

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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Biological #Survey
  • 👍 5
Post #1054 915
📄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.

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📲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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Post #1052 958
📃 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
  • 👍 8
Post #1051 5.37K
📃 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
  • 👍 4
  • 👏 1
Post #1050 956
📄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
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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Post #1049 5.32K
Human_DNARNA_motif_mining_using_deep_learning_methods_a_scoping.pdf2.3 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
  • 👍 4
  • ❤ 1
Post #1046 790

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
  • 👍 5
Post #1045 1.16K
📃 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
  • 👍 1
Post #1044 1.37K
📃 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
  • 👍 1
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