Network Analysis Resources & Updates

🎓A review of Graph Neural Networks for Electroencephalography data analysis 📘 Journal: Neurocomputing (I.F=6) 🗓 Publish year: 2023 🧑‍💻Authors: Manuel Graña, Igone Morais-Quilez 🏢University: University of the Basque Country (UPV/EHU), San Sebastian, Spain 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #Electroencephalography #review

📃Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction 📘 Journal: Briefings in Bioinformatics(I.F=) 🗓 Publish year: 2023 🧑‍💻Authors: Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S Yu, Xiangxiang Zeng 🏢Universities: Xiangtan University, Huazhong Agricultural University, Hunan University, 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #drug_drug_interactions #Graph_Learning #deep_learning #prediction

📃Data-centric Graph Learning: A Survey 📘 Journal: JOURNAL OF LATEX CLASS FILES 🗓 Publish year: 2021 🧑‍💻Authors: Yuxin Guo, Deyu Bo, Cheng Yang, Zhiyuan Lu, Zhongjian Zhang, Jixi Liu, Yufei Peng, Chuan Shi 🏢Universities: Beijing University of Posts and Telecommunications 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #crime #Graph_Learning #Survey

🎓Study of Tensor Network Applications in Complex Networks 📘Integrated master's thesis in engineering physics 🗓Publish year: 2022 📎Study Thesis 📱Channel: @ComplexNetworkAnalysis #Thesis #Tensor_Networks #Application

🎞 Machine Learning with Graphs: Graph Neural Networks in Computational Biolog 💥Free recorded course by Prof. Marinka Zitnik 💥In this lecture, Prof. Marinka gives an overview of why graph learning techniques can greatly help with computational biology research. Concretely, this talk covers 3 exemplar use cases: (1) Discovering safe drug-drug combinations via multi-relational link prediction on heterogenous knowledge graphs; (2) Classify patient outcomes and diseases via learning subgraph embeddings; and (3) Learning effective disease treatments through few-shot learning for graphs. 📽 Watch 📲Channel: @ComplexNetworkAnalysis #video #course #Graph #GNN #Machine_Learning #computational_biology

📃 Social search: Retrieving information in Online Social platforms – A survey 📘 Journal: Online Social Networks and Media 🗓 Publish year: 2023 🧑‍💻Authors: Maddalena Amendola, Andrea Passarella, Raffaele Perego 🏢University: University of Pisa 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #Social #Retrieving_information #survey

📃 A social network of crime: A review of the use of social networks for crime and the detection of crime 📘 Journal: Online Social Networks and Media (I.F=7.61) 🗓 Publish year: 2024 🧑‍💻Authors: Brett Drury, Samuel Morais Drury, Md Arafatur Rahman, Ihsan Ullah 🏢Universities: National University of Ireland Galway, University College Dublin, Liverpool Hope University, University Malaysia Pahang 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #crime #social_network #Review

🔊 Important Reminder: 💥 Deadline Approaching for 📓 "Advances in Graph-Based Data Mining" Special Issue 🔶Topics: ▫️graph-based data mining ▫️network analysis ▫️graph algorithms ▫️graph neural networks ▫️community detection ▫️complex data relationships ▫️knowledge extraction 🌐 More information & Submission 📲Channel: @ComplexNetworkAnalysis #journal #special_issue

📃 Recommendation Systems for Education: Systematic Review 📘 Journal: Electronics (I.F=2.9) 🗓 Publish year: 2021 🧑‍💻Authors: María Cora Urdaneta-Ponte, Amaia Mendez-Zorrilla, Ibon Oleagordia-Ruiz 🏢Universities: University of Deusto, Andres Bello Catholic University (UCAB) 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #Recommender_Systems #Education #review

📄Graph-Based Data Science, Machine Learning, and AI 💥Technical Paper 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Graph #AI #Data_Science #Machine_Learning

📄Introducing TensorFlow Graph Neural Networks 💥Technical Paper 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Graph #code #TensorFlow #python

📃 A review on graph neural networks for predicting synergistic drug combinations 📘 Journal: Artificial Intelligence Review (I.F=12) 🗓 Publish year: 2024 🧑‍💻Authors: Milad Besharatifard, Fatemeh Vafaee 🏢University: University of New South Wales (UNSW), Sydney, Australia 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #GNN #predicting #synergistic #drug_combinations #review

📃 Toward Point-of-Interest Recommendation Systems: A Critical Review on Deep-Learning Approaches 🗓 Publish year: 2022 🧑‍💻Authors: Sadaf Safavi ,Mehrdad Jalali ,Mahboobeh Houshmand 🏢Universities: Islamic Azad University, Karlsruhe Institute of Technology 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #Recommendation_Systems #Review

📄What Are Graph Neural Networks? How GNNs Work, Explained with Examples 💥Technical Paper 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Graph #code #GNN #python

📄The Essential Guide to GNN (Graph Neural Networks) 💥Technical Paper 💥 Graph neural networks (GNNs) are a set of deep learning methods that work in the graph domain. These networks have recently been applied in multiple areas including; combinatorial optimization, recommender systems, computer vision – just to mention a few. These networks can also be used to model large systems such as social networks, protein-protein interaction networks, knowledge graphs among other research areas. Unlike other data such as images, graph data works in the non-euclidean space. Graph analysis is therefore aimed at node classification, link prediction, and clustering. 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Graph #code #GNN

📃 Progress on network modeling and analysis of gut microecology: a review 📘 Journal: Applied and Environmental Microbiology (I.F=4.4) 🗓 Publish year: 2024 🧑‍💻Authors: Meng Luo, Jinlin Zhu, Jiajia Jia, Hao Zhang, Jianxin Zhao 🏢University: Jiangnan University 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #Progress #gut #microecology #review

📄Intro to Gephi & Visualize clusters 💥Goals: -Learn how to use Gephi -Explore a directed network -Export a network map -Annotate clusters 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Gephi

📄Intro to Gephi & Visualize clusters 💥Goals: -Learn how to use Gephi -Explore a directed network -Export a network map -Annotate clusters 🌐 Study 📲Channel: @ComplexNetworkAnalysis #paper #Gephi

📃 Link Prediction Using Graph Neural Networks for Recommendation Systems 📘 Journal: Procedia Computer Science 🗓 Publish year: 2023 🧑‍💻Authors: Hmaidi Safae, Lazaar Mohamed , Abdellah Chehri , El Madani El Alami Yasser , Rachid Saadane 🏢Universities: University in Rabat, Rabat, Morocco, Royal Military College of Canada 📎 Study the paper 📱Channel: @ComplexNetworkAnalysis #paper #Link_Prediction #GNN #Recommender_Systems