📄Gephi Tutorial: How to use it for Network Analysis?
💥Technical paper
💥If you would like to get your hands dirty with some ONA software, we have prepared a simple Gephi tutorial to help you do basic organizational network analysis on a sample dataset. When you do it yourself, you get a better understanding of the logic of the analysis, the opportunities and limitations this open-source software provides, and a more meaningful interpretation of results, by using your context knowledge to better understand what the network statistics mean for the organizat .
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📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Gephi #Tutorial
💥Technical paper
💥If you would like to get your hands dirty with some ONA software, we have prepared a simple Gephi tutorial to help you do basic organizational network analysis on a sample dataset. When you do it yourself, you get a better understanding of the logic of the analysis, the opportunities and limitations this open-source software provides, and a more meaningful interpretation of results, by using your context knowledge to better understand what the network statistics mean for the organizat .
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Gephi #Tutorial
📄Graph Neural Networks and Their Current Applications in Bioinformatics
📘journal: Frontiers in Genetics (I.F.=3.7)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#review #Graph_Neural_Networks #Application #Bioinformatics
📘journal: Frontiers in Genetics (I.F.=3.7)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#review #Graph_Neural_Networks #Application #Bioinformatics
📄Graph Learning and Its Applications: A Holistic Survey
🗓Publish year: 2023
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📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Graph #Applications
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey #Graph #Applications
🎞 Graph Analytics and Graph-based Machine Learning
💥Free recorded course by Clair Sullivan
💥Machine learning has traditionally revolved around creating models around data that is characterized by embeddings attributed to individual observations. However, this ignores a signal that could potentially be very strong: the relationships between data points. Network graphs provide great opportunities for identifying relationships that we may not even realize exist within our data. Further, a variety of methods exist to create embeddings of graphs that can enrich models and provide new insights.
In this talk we will look at some examples of common ML problems and demonstrate how they can take advantage of graph analytics and graph-based machine learning. We will also demonstrate how graph embeddings can be used to enhance existing ML pipelines.
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📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
💥Free recorded course by Clair Sullivan
💥Machine learning has traditionally revolved around creating models around data that is characterized by embeddings attributed to individual observations. However, this ignores a signal that could potentially be very strong: the relationships between data points. Network graphs provide great opportunities for identifying relationships that we may not even realize exist within our data. Further, a variety of methods exist to create embeddings of graphs that can enrich models and provide new insights.
In this talk we will look at some examples of common ML problems and demonstrate how they can take advantage of graph analytics and graph-based machine learning. We will also demonstrate how graph embeddings can be used to enhance existing ML pipelines.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_Learning
YouTube
Graph Analytics and Graph-based Machine Learning
Machine learning has traditionally revolved around creating models around data that is characterized by embeddings attributed to individual observations. However, this ignores a signal that could potentially be very strong: the relationships between data…
📕Transportation Network Analysis
🗓Publish year: 2022
📎 Study the book
📱Channel: @ComplexNetworkAnalysis
#book #Transportation
🗓Publish year: 2022
📎 Study the book
📱Channel: @ComplexNetworkAnalysis
#book #Transportation
🎞 Knowledge Graphs: The Path to Enterprise — Michael Moore and AI Omar Azhar, EY
💥Free recorded tutorial on Knowledge Graphs: A Path to Organization
🔹Michael Moore, Ph.D. — Executive Director, EY Performance Improvement Advisory, Enterprise Knowledge Graphs + AI Lead, EY and Omar Azhar, M.S. — Manager, EY Financial Services Organization Advisory, AI Strategy and Advanced Analytics COE, EY.
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📱Channel: @ComplexNetworkAnalysis
#video #Knowledge_Graphs #Enterprise
💥Free recorded tutorial on Knowledge Graphs: A Path to Organization
🔹Michael Moore, Ph.D. — Executive Director, EY Performance Improvement Advisory, Enterprise Knowledge Graphs + AI Lead, EY and Omar Azhar, M.S. — Manager, EY Financial Services Organization Advisory, AI Strategy and Advanced Analytics COE, EY.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Knowledge_Graphs #Enterprise
YouTube
Knowledge Graphs: The Path to Enterprise — Michael Moore and AI Omar Azhar, EY
Michael Moore, Ph.D. — Executive Director, EY Performance Improvement Advisory, Enterprise Knowledge Graphs + AI Lead, EY and Omar Azhar, M.S. — Manager, EY Financial Services Organization Advisory, AI Strategy and Advanced Analytics COE, EY
📄Graph Theory and Algorithms for Network Analysis
📘Conference: International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Theory #Algorithms
📘Conference: International Conference on Newer Engineering Concepts and Technology (ICONNECT-2023)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Theory #Algorithms
📄Implementation and Analysis of Social Network Graph
in Interpersonal Network
📘 journal: Jurnal Ilmu Komputer (JIK)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Implementation #Graph #Interpersonal_Network
in Interpersonal Network
📘 journal: Jurnal Ilmu Komputer (JIK)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Implementation #Graph #Interpersonal_Network
📄A survey on bipartite graphs embedding
📘 journal: Social Network Analysis and Mining (SNAM) (I.F=2.8)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #bipartite #graphs #embedding #survey
📘 journal: Social Network Analysis and Mining (SNAM) (I.F=2.8)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #bipartite #graphs #embedding #survey
📄A Review of Graph Neural Networks and Their Applications in Power Systems
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Neural_Networks #Applications #Power_Systems #Review
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Neural_Networks #Applications #Power_Systems #Review
📕Network Analysis: Integrating Social Network Theory, Method, and Application with R
🗓Publish year: 2023
📎 Study the book
📱Channel: @ComplexNetworkAnalysis
#book #Integrating #Method #Application #R
🗓Publish year: 2023
📎 Study the book
📱Channel: @ComplexNetworkAnalysis
#book #Integrating #Method #Application #R
🎞 Workshop: Centrality and Modularity Analysis in Gephi and Visone
💥Workshop (beginner level) on Centrality and Modularity Analysis in Gephi and Visone by Xiong Huei-Lan (Leiden University) & Song Chen (Bucknell University) at the conference "Historical Network Research in Chinese Studies", Day 2 (24.07.2021).
💻Dataset with materials and videos of the conference
🌐Conference website
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Workshop #Centrality #Modularity #Gephi #Visone
💥Workshop (beginner level) on Centrality and Modularity Analysis in Gephi and Visone by Xiong Huei-Lan (Leiden University) & Song Chen (Bucknell University) at the conference "Historical Network Research in Chinese Studies", Day 2 (24.07.2021).
💻Dataset with materials and videos of the conference
🌐Conference website
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Workshop #Centrality #Modularity #Gephi #Visone
YouTube
HNRCS: Xiong Huei-Lan & Song Chen – Workshop: Centrality and Modularity Analysis in Gephi and Visone
Workshop (beginner level) on Centrality and Modularity Analysis in Gephi and Visone by Xiong Huei-Lan (Leiden University) & Song Chen (Bucknell University) at the conference "Historical Network Research in Chinese Studies", Day 2 (24.07.2021)
Dataset with…
Dataset with…
📄Wide Graph Neural Network
📘Conference: The Eleventh International Conference on Learning Representations(ICLR 2023)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Neural_Network #Wide
📘Conference: The Eleventh International Conference on Learning Representations(ICLR 2023)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Graph_Neural_Network #Wide
📄Neural Network Optimization Based on Complex Network
Theory: A Survey
📘 journal: MATHEMATICS (I.F=2.3)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Neural_Network #Optimization #Survey
Theory: A Survey
📘 journal: MATHEMATICS (I.F=2.3)
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Neural_Network #Optimization #Survey
🎞 GraphVar - Brain Network Analysis - Part 1/2
💥Free recorded tutorial on Brain Network Analysis
🔹This is a demonstration of GraphVar and a walk through implemented functions. Brain Connectivity Toolbox.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Brain_Network
💥Free recorded tutorial on Brain Network Analysis
🔹This is a demonstration of GraphVar and a walk through implemented functions. Brain Connectivity Toolbox.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Brain_Network
YouTube
GraphVar - Brain Network Analysis - Part 1/2
This is a demonstration of GraphVar and a walk through implemented functions. Brain Connectivity Toolbox.
📄A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Privacy #Graph_Neural_Network #Attacks #Preservation #Applications #Survey
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Privacy #Graph_Neural_Network #Attacks #Preservation #Applications #Survey
🎞 Benchmarking Graph Neural Network
💥Free recorded tutorial on Benchmarking Graph Neural Network by Xavier Bresson, Yoshua Bengio| ICML Tutorial
🌐 Slides of this video
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📱Channel: @ComplexNetworkAnalysis
#video #Graph_Neural_Network
💥Free recorded tutorial on Benchmarking Graph Neural Network by Xavier Bresson, Yoshua Bengio| ICML Tutorial
🌐 Slides of this video
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Graph_Neural_Network
SlidesLive
Xavier Bresson, Yoshua Bengio · Benchmarking Graph Neural Networks
📄Graph Neural Network and Some of GNN Applications: Everything You Need to Know
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #GNN
neptune.ai
Graph Neural Network and Some of GNN Applications
Explore Graph Neural Networks, from graph basics to deep learning concepts, Graph Convolutional Networks, and GNN applications.
📄Machine Learning Algorithms
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Machine_learning
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Machine_learning
Graph Database & Analytics
Machine Learning Algorithms - Graph Database & Analytics
Get an introduction to machine learning and how new graph-based machine learning algorithms can be used to better analyze and understand data.
📄Temporal Link Prediction: A Unified Framework, Taxonomy, and Review
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Review #Graph #Link_Prediction
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Review #Graph #Link_Prediction