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Showing posts older than #1044 · Back to latest

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Post #1043 1.41K
📃 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
  • 👍 3
  • ❤ 1
Post #1042 1.36K
📃 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
  • 👍 3
Post #1041 978
📃 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
  • 👍 5
Post #1040 1.28K
📄 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
  • 👍 2
Post #1036 883

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
  • 👍 2
Post #1035 876
📃 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
  • 👍 4
Post #1034 1.87K
📹 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
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/…
  • 👍 5
Post #1033 5.4K
📃 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
  • 👍 5
  • ❤ 3
  • 👏 1
Post #1031 868
📄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
Post #1029 823
📄A Survey on Hypergraph Mining: Patterns, Tools, and
Generators

🗓Publish year: 2024

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📱Channel: @ComplexNetworkAnalysis
#paper #Hypergraph #Patterns #Tools #Generators #Survey
  • 👍 2
Post #1027 847
📄Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions

🗓Publish year: 2023

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📲Channel: @ComplexNetworkAnalysis
#paper #Biomedicine #GRL
  • 🔥 2
  • 👍 1
Post #1026 798
📄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

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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #architectures #applications #future #review
  • 👍 3
Post #1024 758
📄Toward Point-of-Interest Recommendation Systems: A Critical Review on Deep-Learning Approaches

📘 Journal: Electronics (I.F=10.835)
🗓Publish year: 2022

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📲Channel: @ComplexNetworkAnalysis
#paper #Recommendation_Systems #Deep_Learning #Review
  • ❤ 3
  • 👍 2
Post #1023 741
📄A survey on deep learning based Point-of-Interest (POI) recommendations

📘 Journal: Neurocomputing (I.F= 6)
🗓Publish year: 2020

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📱Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #POI #recommendation #survey
  • 👍 2
  • 🤩 1
Post #1020 1.95K
📄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

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📲Channel: @ComplexNetworkAnalysis
#paper #GNN #GraphSage #GAT #Survey
  • 🔥 4
  • 👍 2
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