Network Analysis Resources & Updates – Telegram
Network Analysis Resources & Updates
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📃 A survey of dynamic graph neural networks

🗓 Publish year: 2024

🧑‍💻Authors: Yanping ZHENG, Lu YI, Zhewei WEI
🏢University: Renmin University of China

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📱Channel: @ComplexNetworkAnalysis
#paper #dynamic #GNN #survey
👍5
📃Distributed Graph Neural Network Training: A Survey


🗓 Publish year: 2024
📘 Journal: ACM Computing Surveys (I.F=16.6)

🧑‍💻Authors:thors: Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen
🏢Universities: Beijing University of Posts and Telecommunications, Carnegie Mellon University, Peking University, The Hong Kong University of Science and Technology (Guangzhou)

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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN #Distributed
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A Survey on Graph Representation Learning Methods.pdf
1.2 MB
📃A Survey on Graph Representation Learning Methods

🗓 Publish year: 2024
📘 Journal: ACM Transactions on Intelligent Systems and Technology (I.F=10.489)

🧑‍💻Authors: Shima Khoshraftar, Aijun An
🏢Universities: York University

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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN
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📃 Survey on Graph Neural Network Acceleration: An Algorithmic Perspective

🗓 Publish year: 2022
📘Conference: International Joint Conference on Artificial Intelligence

🧑‍💻Authors: Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye,Dongrui Fan, Shirui Pan, Yuan Xie
🏢Universities: University of Chinese Academy of Sciences,Tsinghua University, Monash University, University of California

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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Acceleration #Algorithmic #Perspective #survey
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📃 Graph Time-series Modeling in Deep Learning: A Survey

🗓 Publish year: 2024
📘Journal: ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (I.F=3.6)

🧑‍💻Authors: Hongjie Che, Hoda Eldardiry
🏢University: Virginia Tech, USA

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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Time_series #Deep_learning #survey
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📃A Comprehensive Survey on Deep Graph Representation Learning

🗓 Publish year: 2023
📘 Journal: Journal of Artificial Intelligence Research (I.F=5)

🧑‍💻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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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN
👍21
📃 A Survey of Graph Pre-processing Methods: From Algorithmic to Hardware Perspectives

🗓 Publish year: 2023

🧑‍💻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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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Pre_processing #Algorithm #Hardware #Perspectives #survey
👍3
📃 Graph Neural Network-based EEG Classification: A Survey

🗓 Publish year: 2023

🧑‍💻Authors: Dominik Klepl, Min Wu, and Fei He
🏢University: Coventry University

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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #EEG #Classification #survey
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📃 A Survey of Large Language Models for Graphs

🗓 Publish year: 2024

🧑‍💻Authors: Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh Chawla, Chao Huang
🏢University: University of Hong Kong

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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #LLM
📃 Emerging landscape of molecular interaction networks:
Opportunities, challenges and prospects

🗓 Publish year: 2022
📘Journal: Journal of Biosciences(I.F=2.9)

🧑‍💻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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📱Channel: @ComplexNetworkAnalysis
#paper #Emerging #landscape #molecular #Opportunities #challenges #prospects
👏1
🎞Community detection (clustering network data) and modularity

💥Free recorded course by Prof. Samin Aref

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

📽 Watch

📲Channel: @ComplexNetworkAnalysis
#video #Graph #Community_detection #modularity
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📃 A Survey on Graph Neural Networks for Microservice-Based Cloud Applications

🗓 Publish year: 2022
📘Journal: SENSORS-BASEL (I.F=3.9)

🧑‍💻Authors: Hoa Xuan Nguyen , Shaoshu Zhu and Mingming Liu
🏢University: Dublin City University

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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Microservice #Cloud #Applications #Survey
📃 Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities

🗓 Publish year: 2023
📘Journal: Transactions on Graph Data and Knowledge (TGDK)

🧑‍💻Authors: Jiaoyan Chen, Hang Dong, Janna Hastin, Ernesto Jiménez-Ruiz, Vanessa López, Pierre Monnin, Catia Pesquita, Petr Škoda, Valentina Tamm
🏢Universities: University of Manchester, University of Oxford, University of Zurich, Switzerland, University of London, Université Côte d’Azur, Inria, Charles University, Prague, Czechia

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📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Life_Sciences #Developments #Challenges #Opportunities
👍5
📃 Graph Neural Networks Designed for Different Graph Types: A Survey

🗓 Publish year: 2023

🧑‍💻Authors: Josephine Thomas, Alice Moallemy-Oureh, Silvia Beddar-Wiesing, Clara Holzhüter
🏢University: University of Kassel, Germany

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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Different #Types #Survey
👍4
🎓Deep learning for graph structured data

📘Doctoral thesis
🗓Publish year: 2024

🧑‍💻Author: Dwivedi Vijay Prakash
🏢University: Nanyang Technological University, Singapore

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📱Channel: @ComplexNetworkAnalysis

#Thesis #Deep_learning #structured_data
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