Network Analysis Resources & Updates
3.06K subscribers
818 photos
163 files
1.12K links
Are you seeking assistance or eager to collaborate?
Don't hesitate to dispatch your insights, inquiries, proposals, promotions, bulletins, announcements, and more to our channel overseer. We're all ears!

Contact: @Questioner2
Download Telegram
πŸ“ƒDistributed Graph Neural Network Training: A Survey


πŸ—“ Publish year: 2024
πŸ“˜ Journal: ACM Computing Surveys (I.F=16.6)

πŸ§‘β€πŸ’»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)

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN #Distributed
πŸ‘3❀1πŸ”₯1
A Survey on Graph Representation Learning Methods.pdf
1.2 MB
πŸ“ƒA Survey on Graph Representation Learning Methods

πŸ—“ Publish year: 2024
πŸ“˜ Journal: ACM Transactions on Intelligent Systems and Technology (I.F=10.489)

πŸ§‘β€πŸ’»Authors: Shima Khoshraftar, Aijun An
🏒Universities: York University

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN
πŸ‘4πŸ”₯1
πŸ“ƒ Survey on Graph Neural Network Acceleration: An Algorithmic Perspective

πŸ—“ Publish year: 2022
πŸ“˜Conference: International Joint Conference on Artificial Intelligence

πŸ§‘β€πŸ’»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

πŸ“Ž Study the paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GNN #Acceleration #Algorithmic #Perspective #survey
πŸ‘3❀1πŸ‘1
πŸ“ƒ Graph Time-series Modeling in Deep Learning: A Survey

πŸ—“ Publish year: 2024
πŸ“˜Journal: ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (I.F=3.6)

πŸ§‘β€πŸ’»Authors: Hongjie Che, Hoda Eldardiry
🏒University: Virginia Tech, USA

πŸ“Ž Study the paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph #Time_series #Deep_learning #survey
πŸ‘3
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

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Survey #GNN
πŸ‘2❀1
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

πŸ“Ž Study the paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph #Pre_processing #Algorithm #Hardware #Perspectives #survey
πŸ‘3
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

πŸ“Ž Study the paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #GNN #EEG #Classification #survey
πŸ‘4❀1
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

πŸ“Ž Study the paper

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

πŸ“Ž Study the paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Emerging #landscape #molecular #Opportunities #challenges #prospects
πŸ‘1
🎞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”₯3
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

πŸ“Ž Study the paper

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‘5
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
πŸ‘4
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
πŸ‘2πŸ‘1
🎞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
πŸ‘2
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‘4