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πŸ“ƒA Comprehensive Survey on Deep Graph Representation Learning

πŸ—“ Publish year: 2023
πŸ“˜ Journal: Journal of Artificial Intelligence Research (I.F=5)

πŸ§‘β€πŸ’»Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah
🏒Universities: University of Electronic Science and Technology of China

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN
πŸ“ƒ A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives

πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»Authors: Zhengyang Lv, Mingyu Yan, Xin Liu, Mengyao Dong, Xiaochun Ye, Dongrui Fan, Ninghui Sun
🏒University: ShanghaiTech Univ, China and SHIC, China

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph #Pre_processing #Algorithm #Hardware #Perspectives #survey
πŸ“ƒ Graph Neural Network-based EEG Classification: A Survey

πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»Authors: Dominik Klepl, Min Wu, and Fei He
🏒University: Coventry University

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GNN #EEG #Classification #survey
πŸ“ƒ A Survey of Large Language Models for Graphs

πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»Authors: Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh Chawla, Chao Huang
🏒University: University of Hong Kong

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Survey #LLM
πŸ“ƒ Emerging landscape of molecular interaction networks:
Opportunities, challenges and prospects

πŸ—“ Publish year: 2022
πŸ“˜Journal: Journal of Biosciences(I.F=2.9)

πŸ§‘β€πŸ’»Authors: Gauri Panditrao, Rupa Bhowmick, Chandrakala Meena and Ram Rup Sarka
🏒University: Chemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Emerging #landscape #molecular #Opportunities #challenges #prospects
🎞Community detection (clustering network data) and modularity

πŸ’₯Free recorded course by Prof. Samin Aref

πŸ’₯Community detection (clustering network data), optimization-based community detection, Zachary Karate club, modularity function, maximum-modularity partitions, optimal partitions

πŸ“½ Watch

πŸ“²Channel: @ComplexNetworkAnalysis
#video #Graph #Community_detection #modularity
πŸ“ƒ A Survey on Graph Neural Networks for Microservice-Based Cloud Applications

πŸ—“ Publish year: 2022
πŸ“˜Journal: SENSORS-BASEL (I.F=3.9)

πŸ§‘β€πŸ’»Authors: Hoa Xuan Nguyen , Shaoshu Zhu and Mingming Liu
🏒University: Dublin City University

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πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GNN #Microservice #Cloud #Applications #Survey
πŸ“ƒ Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities

πŸ—“ Publish year: 2023
πŸ“˜Journal: Transactions on Graph Data and Knowledge (TGDK)

πŸ§‘β€πŸ’»Authors: Jiaoyan Chen, Hang Dong, Janna Hastin, Ernesto JimΓ©nez-Ruiz, Vanessa LΓ³pez, Pierre Monnin, Catia Pesquita, Petr Ε koda, Valentina Tamm
🏒Universities: University of Manchester, University of Oxford, University of Zurich, Switzerland, University of London, UniversitΓ© CΓ΄te d’Azur, Inria, Charles University, Prague, Czechia

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Life_Sciences #Developments #Challenges #Opportunities
πŸ“ƒ Graph Neural Networks Designed for Different Graph Types: A Survey

πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»Authors: Josephine Thomas, Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Clara HolzhΓΌter
🏒University: University of Kassel, Germany

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GNN #Different #Types #Survey
πŸŽ“Deep learning for graph structured data

πŸ“˜Doctoral thesis
πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Author: Dwivedi Vijay Prakash
🏒University: Nanyang Technological University, Singapore

πŸ“ŽStudy Thesis

πŸ“±Channel: @ComplexNetworkAnalysis

#Thesis #Deep_learning #structured_data
🎞Learning on Graphs Conference 2022

πŸ’₯Learning on Graphs Conference is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis
#video #Learning #Graph
πŸŽ“Empowering Graph Neural Networks for Real-World Tasks

πŸ“˜Doctoral thesis
πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Author: Zhichun Guo
🏒University: University of Notre Dame, Indiana

πŸ“ŽStudy Thesis

πŸ“±Channel: @ComplexNetworkAnalysis
#Thesis #Empowering #GNN #Real_world
πŸ“ƒ Graph Convolutional Neural Networks for Traffic
Forecasting and Prediction: A Review

πŸ—“ Publish year: 2024
πŸ“˜Conference: AIP Conference Proceedings

πŸ§‘β€πŸ’»Authors: Vandana Singh, Sudip Kumar Sahana, Vandana Bhattacharjee
🏒University: Department of Computer Science & Engineering BIT Mesra, Ranchi, India

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GCN #Traffic_Forecasting #Prediction #Review
πŸ“ƒ A Survey on Machine Learning Solutions for Graph Pattern Extraction

πŸ—“ Publish year: 2022

πŸ§‘β€πŸ’»Authors:Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng, Chenhao Ma, Xiaolin Han
🏒University: g, Nanyang Technological University
πŸ—Ί China, Singapore

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πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Survey #Machine_learning #Pattern
πŸ“ƒA Comprehensive Survey on Graph Summarization
with Graph Neural Networks

πŸ—“ Publish year: 2023
πŸ“˜Journal: IEEE Transactions on Artificial Intelligence

πŸ§‘β€πŸ’»Authors: Nasrin Shabani, Jia Wu Senior Member, IEEE, Amin Beheshti, Quan Z. Sheng Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar
🏒University: Macquarie University, NSW, Australia

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph #Summarization #GNN #Survey
Quantum_Social_Network_Analysis_for_Community_Detection_A_Comprehensive.pdf
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πŸ“ƒ Quantum-Social Network Analysis for Community Detection: A Comprehensive Review

πŸ—“ Publish year: 2024
πŸ“˜Journal: IEEE Transactions on Computational Social Systems (I.F: 5.61)

πŸ§‘β€πŸ’»Authors: Samya Muhuri; Shashank Sheshar Singh
🏒University: Thapar Institute of Engineering and Technology
πŸ—Ί Country: India

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Quantum #Social_Network #Community_Detection #Review
πŸ“ƒGraph Neural Networks in Cancer and Oncology Research: Emerging and Future Trends

πŸ—“ Publish year: 2023
πŸ“˜Journal: CANCERS (I.F=5.2)

πŸ§‘β€πŸ’»Authors: Grigoriy Gogoshin and Andrei S. Rodin
🏒Affiliation: Department of Computational and Quantitative Medicine, Beckman Research Institute, and Diabetes and Metabolism Research Institute, USA.

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GNN #Cancer #Oncology #Emerging #Trends
2025/06/29 06:19:01
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