Network Analysis Resources & Updates

📃Network Modeling and Control of Dynamic Disease Pathways, Review and Perspectives 📘Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics (I.F.=3.6) 🗓Publish year: 2024 🧑‍💻Authors: Yen-Che Hsiao; Abhishek Dutta 🏢University: University of Connecticut, USA 📎 Study the paper 📲Channel: @Bioinformatics #review #pathway #network

📃Artificial Intelligence for Complex Network: Potential, Methodology and Application 🗓 Publish year: 2024 🧑‍💻Authors: Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li 🏢Universities: Tsinghua University, Beijing National Research Center for Information Science and Technology (BNRist)China 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #AI #Application

📃Fake news detection: A survey of graph neural network methods 🗓 Publish year: 2023 📘Journal: Fake news detection: A survey of graph neural network methods (I.F=7.2) 🧑‍💻Authors: Huyen Trang Phan, Ngoc Thanh Nguyen, Dosam Hwang 🏢Universities: Yeungnam University, Gyeongsan, South Korea. Nguyen Tat Thanh University, Ho Chi Minh, Vietnam. Wroclaw University of Science and Technology, Wroclaw, Poland. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Fake_news #GNN #survey

📃Graph neural network based intelligent tutoring system: A survey 🗓 Publish year: 2024 📘Journal: Neurocomputing (I.F=5.5) 🧑‍💻Authors: Juhua Pu a, Shufei Li a, Meng Guo a, Xi Chen a, Zhang Xiong 🏢Universities: Beihang University, China. University of International Business and Economics, China. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #tutoring_system #survey

📃Large Language Models on Graphs: A Comprehensive Survey 🗓 Publish year: 2023 📘Journal: Computation and Language (I.F=1.8) 🧑‍💻Authors: Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Language_Models #survey

📃A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting 🗓 Publish year: 2024 📘Journal: ACM Computing Surveys (I.F=23.8) 🧑‍💻Authors: : Manali Patel, Krupa Jariwala, CHIRANJOY CHATTOPADHYAY 🏢Universities: Sardar Vallabhbhai National Institute of Technology, Surat, India. FLAME University, Pune, India. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #Stock_Market #Forecasting #review

📕Learning Analytics Methods and Tutorials 🗓Publish year: 2024 📎 Study the book 📱Channel: @ComplexNetworkAnalysis #book #Learning #Analytics #Method #Tutorials

📃Graph structural complexity 🗓 Publish year: 2024 🧑‍💻Authors: Andrew Snarskii 🏢Universities: The National Technical University of Ukraine 📎 Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Graph #complexity #structural

📄Graph Clustering Algorithms: Usage and Comparison 💥Technical Paper 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Graph #Clustering

📃Survey on Graph Neural Networks 🗓 Publish year: 2024 📘Journal: Journal of Cleaner Production (I.F=9.7) 🧑‍💻Authors: G. GKARMPOUNIS, C. VRANIS, N. VRETOS, P. DARAS 🏢Universities: Information Technologies Institute (IT) 📎 Study paper 📲Channel: @ComplexNetworkAnalysis #paper #Graph #GNN #Survey

📃A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation 🗓 Publish year: 2024 🧑‍💻Authors: Mohammad Hashemi , Shengbo Gong, Juntong Ni , Wenqi Fan , B. Aditya Prakas, Wei Jin 🏢Universities: Emory University, The Hong Kong Polytechnic University, Georgia Institute of Technology. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Graph #Reduction #Sparsification #Coarsening #Condensation #survey

📃Graph theory in ecological network analysis: A systematic review for connectivity assessment 🗓 Publish year: 2024 📘Journal: Journal of Cleaner Production (I.F=9.7) 🧑‍💻Authors: Rastegar Hashemi a, Hassan Darabi a, Masoud Hashemi b, Jingxia Wang 🏢Universities: University of Tehran, Tehran, Iran. Zabol University, Zabol, Iran. University of Sheffield, Western Bank, S10 2TN, Sheffield, UK. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Graph #ecological #connectivity #assessment #review

📃A Comprehensive Survey on Deep Graph Representation Learning 🗓 Publish year: 2024 📘Journal: Neural Networks(I.F=6) 🧑‍💻Authors: Wei Ju a, Zheng Fang b, Yiyang Gu a, Zequn Liu a, Qingqing Long c, Ziyue Qiao d, Yifang Qin a, Jianhao Shen a, Fang Sun e, Zhiping Xiao e, Junwei Yang a, Jingyang Yuan a, Yusheng Zhao a, Yifan Wang f, Xiao Luo e, Ming Zhang 🏢Universities: Peking University, Beijing, 100871, China. The Hong Kong University of Science and Technology, Guangzhou, 511453, China. University of California, Los Angeles, 90095, USA. 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Deep_learning #Representation_Learning #survey

📃Optimizing Graph Theory Algorithms for Social Network Analysis 🗓 Publish year: 2024 📘Journal: Communications on Applied Nonlinear Analysis 🧑‍💻Authors: Susanta Kumar Sahoo,Sasmita Mishra 🏢University: Department of Computer Science Engineering & Applications,IGIT Sarang, Odisha, India 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Graph #Optimizing #Algorithms

📃SOCIAL NETWORK ANALYSIS: FROM GRAPH THEORY TO APPLICATIONS 🗓 Publish year: 2024 📘Journal: Social Communication 🧑‍💻Authors: Wojciech Golędzinowski, Władysław Błocki 🏢University: University of Information Technology and Management in Rzeszów 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Graph #Applications

🎞 Graph Neural Networks with Missing Node Features 💥Free recorded tutorial by Emanuele Rossi 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #GNN #Node #Feature

🎓Network Inference And Graph Learning in Characterising Alzheimer’s Disease 📕PhD Thesis form Coventry University, England 🗓Publish year: 2024 📎 Study thesis ⚡️Channel: @ComplexNetworkAnalysis #thesis #Alzheimer #inference

🎞 Graphs and networks. Graph-theoretical approach. Complex network analysis 💥Complex network analysis by Maksym Tsizh 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #Graph

📃Heterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective 🗓 Publish year: 2024 📘Journal: Informatics and Health 🧑‍💻Authors: Shirui Yu , Aihua Li , Yifei Chen , Dechao Wang , Xiaoli Tang 🏢University: Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China 📎 Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Heterogeneous #biomedical #data_mining #review

🎞Graph Neural Networks in Computational Biology: A Personal Perspective 💥Free recorded tutorial by Petar Veličković 💥Graph neural networks (GNNs) have in recent years become an invaluable tool for machine learning with data in the form of graphs or sets. GNNs now frequently form the back-bone for machine learning applications in drug discovery, modeling of small molecules, and more broader applications of computational biology. 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #GNN #Computational #Biology #perspective