Network Analysis Resources & Updates - إحصائيات وتحليلات قناة تيليجرام @complexnetworkanalysis

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🎞 2022 Keynote: Deep learning with Knowledge Graphs 💥Free recorded Tutorial on Deep learning with Knowledge Graphs 💥In this talk will discuss recent methodological advancements that automatically learn to encode graph structure into low-dimensional embeddings. will also discuss industrial applications, software frameworks, benchmarks, and challenges with scaling-up graph learning systems 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #Deep_learning #knowledge_graphs YouTube "Graph Neural Networks and Knowledge Graph

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🎞 2022 Keynote: Deep learning with Knowledge Graphs 💥Free recorded Tutorial on Deep learning with Knowledge Graphs 💥In this talk will discuss recent methodological advancements that automatically learn to encode graph structure into low-dimensional embeddings. will also discuss industrial applications, software frameworks, benchmarks, and challenges with scaling-up graph learning systems 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #Deep_learning #knowledge_graphs YouTube "Graph Neural Networks and Knowledge Graph

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📑 A review of clique-based overlapping community detection algorithms 📘Journal: Knowledge and Information Systems(I.F=2.531) 🗓Publish year: 2022 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #Community_Detection #Review #clique

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📄Big data analytics meets social media: A systematic review of techniques, open issues, and future directions 📘Conference : Telematics and Informatics (Elsevier) 🗓Publish year: 2021 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Big_data #techniques #open_issues #future #directions #review

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📑 Application Areas of Community Detection: A Review 📘Congress: 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT) 🗓Publish year: 2018 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #Community_Detection #Review

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📄A Comprehensive Survey on Learning Based Methods for Link Prediction Problem 📘Conference : International Conference on Information Systems and Computer Networks (ISCON) 🗓Publish year: 2023 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Learning #Link_Prediction #Problem #survey

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📑 Social network analysis of COVID-19 transmission in Karnataka, India 📘Journal: Epidemiology & Infection (I.F.=4.434) 🗓Publish year: 2020 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #Social_network #COVID_19

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📑 Brain network analysis for the discrimination of dementia disorders using electrophysiology signals: A systematic review 📘Journal: Frontires in Aging Neuroscience(I.F.=5.702) 🗓Publish year: 2023 📎 Study the paper 📲Channel: @ComplexNetworkAnalysis #paper #review #brain #dementia

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🎞 Graph Neural Networks and Knowledge Graph Completion 💥Free recorded Tutorial by Prof. Somen Chakrabarti 💥Link prediction in social and knowledge graphs : Permutation Invariant and Time Sensitive Deep Representations 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #Graph_Neural_Networks #knowledge_graphs

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📕Exploratory Social Network Analysis with Pajek 💥The book "Exploratory Social Network Analysis with Pajek" by Wouter De Noy, Andrey Mrvar and Vladimir Batagel is dedicated to teaching social network analysis, visualization and application of this knowledge in Pajek. Ultimately, readers will gain the knowledge, skills, and tools to apply social network analysis to a variety of disciplines. 🌐 Read online 📲Channel: @ComplexNetworkAnalysis #book #Social_Network

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📄Networks visualization 💥Network diagrams by network tools indicate: Gephi, Gephisto, Cytoscape, NodeXL, Graphia App 📎Study 📲Channel: @ComplexNetworkAnalysis #paper #tools #visualization #Gephi

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📄Applications of Differential Privacy in Social Network Analysis: A Survey 📘Journal: IEEE Transactions on Knowledge and Data Engineering (I.F=9.235) 🗓Publish year: 2021 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Applications #Differential #Privacy #survey

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📄A comprehensive review on knowledge graphs for complex diseases 📘Journal: Briefings in Bioinformatics (I.F=13.994) 🗓Publish year: 2022 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #knowledge_graphs #complex #diseases #review

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🎞 Machine Learning with Graphs: Theory of Graph Neural Networks 💥Free recorded course by Jure Leskovec, Computer Science, PhD 💥The topics: Graph argumentation for GNNs, Training graph neural networks, Setting up GNN prediction tasks 📽 Watch: part1 part2 part3 📝Slides 📲Channel: @ComplexNetworkAnalysis #video #course #Graph #Machine_Learning #GNN

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🎞 Social Network Analysis. Lecture4. Network structure and community detection 💥Free recorded Tutorial by Leonid E. Zhokov 📽 Watch 📱Channel: @ComplexNetworkAnalysis #video #Community_Detection

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📄Basic and Advanced Network Visualization with R 💥Technical paper 📘 PDF 💻 Code 🗂️ data 📲Channel: @ComplexNetworkAnalysis #tools #R #code

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📄Graph Neural Networks for Text Classification: A Survey 📘Journal: Computer Sciences 🗓Publish year: 2023 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Graph_Neural_Networks #Text #Classification #survey

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📄 Influential nodes identification in complex networks: a comprehensive literature review 📘Journal: Beni-Suef University Journal of Basic and Applied Sciences 🗓Publish year: 2023 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #nfluential #nodes #comprehensive #review

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📕Network visualization with R 💥This is a comprehensive tutorial on network visualization with R. It covers data input and formats, visualization basics, parameters and layouts for one-mode and bipartite graphs; dealing with multiplex links, interactive and animated visualization for longitudinal networks; and visualizing networks on geographic maps. To follow the tutorial, download the code and data below and use R and RStudio. You can also check out the most recent versions of all my tutorials here. 📘 PDF 💻 code 🌐 Read online 📲Channel: @ComplexNetworkAnalysis #book #R #code

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📄 Considering weights in real social networks: A review 📘Journal: Frontiers in Physics (I.F=3.718) 🗓Publish year: 2023 📎Study paper 📱Channel: @ComplexNetworkAnalysis #paper #Considering #weights #review