🎞 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 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
👍6
🎞 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…
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📄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
👍3
📄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
👍4❤1
🎞 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.
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📱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.
👏2👍1
📄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
👍4
🎞 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
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📱Channel: @ComplexNetworkAnalysis
#video #Graph_Neural_Network
SlidesLive
Xavier Bresson, Yoshua Bengio · Benchmarking Graph Neural Networks
👍4
📄Graph Neural Network and Some of GNN Applications: Everything You Need to Know
💥Technical paper
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📲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.
👍4
📄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.
👍3
📄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
🔥3👍1
🎞 Graph Analytics and Graph-based Machine Learning
💥Free recorded tutorial by Dr Clair Sullivan.
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📲Channel: @ComplexNetworkAnalysis
#video #Graph #Machine_Learning
💥Free recorded tutorial by Dr Clair Sullivan.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #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…
👍4
📄Introduction to Graph Machine Learning
💥Technical paper
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📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Machine_learning
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Machine_learning
huggingface.co
Introduction to Graph Machine Learning
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
👍3❤1
📄Towards Data-centric Graph Machine Learning: Review and Outlook
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Review #Graph #Machine_Learning
🗓Publish year: 2023
📎 Study the paper
📲Channel: @ComplexNetworkAnalysis
#paper #Review #Graph #Machine_Learning
👍2
Forwarded from Bioinformatics
📄Graph Visualization: Alternative Models Inspired by Bioinformatics
📘 Journal: Sensors (I.F=3.9)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #visualization
📘 Journal: Sensors (I.F=3.9)
🗓Publish year: 2023
📎 Study the paper
📲Channel: @Bioinformatics
#review #visualization
👍2
🎞 IEICE English Webinar "Analysis of Complex Dynamical Behavior as a Temporal Network"
💥Free recorded course by Prof. Tohru Ikeguchi, Tokyo University of Science.
💥In this webinar, we will discuss the analysis of time-varying complex phenomena by considering measured contact data as a temporal network. Firstly, we will introduce some of the contact data currently recorded. Then, as an elemental technique for analyzing these contact data as temporal networks, we explain the analysis method for static networks. Secondly, we explain the importance of analyzing such contact data as temporal networks. We also explain how to transform contact data into temporal networks. Thirdly, we explain the distance measure between temporal networks in order to detect and quantify system dynamics from the transformed temporal networks. Furthermore, we explain how to analyze the dynamics of the changes in the contact data by converting the temporal changes in the distance into time series signals using the classical multidimensional scaling method. Finally, we conclude the methods for analyzing contact data as a temporal networks, and discuss a future direction of network analysis.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #webinar #Graph #Network #Anaysis
💥Free recorded course by Prof. Tohru Ikeguchi, Tokyo University of Science.
💥In this webinar, we will discuss the analysis of time-varying complex phenomena by considering measured contact data as a temporal network. Firstly, we will introduce some of the contact data currently recorded. Then, as an elemental technique for analyzing these contact data as temporal networks, we explain the analysis method for static networks. Secondly, we explain the importance of analyzing such contact data as temporal networks. We also explain how to transform contact data into temporal networks. Thirdly, we explain the distance measure between temporal networks in order to detect and quantify system dynamics from the transformed temporal networks. Furthermore, we explain how to analyze the dynamics of the changes in the contact data by converting the temporal changes in the distance into time series signals using the classical multidimensional scaling method. Finally, we conclude the methods for analyzing contact data as a temporal networks, and discuss a future direction of network analysis.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #webinar #Graph #Network #Anaysis
YouTube
IEICE English Webinar "Analysis of Complex Dynamical Behavior as a Temporal Network"
IEICE English Webinar Distinguished Lecturer Program Series July 2023
Analysis of Complex Dynamical Behavior as a Temporal Network
Lecturer: Prof. Tohru Ikeguchi, Tokyo University of Science
Biography:
Professor Tohru Ikeguchi received B.E., M.E., and Doctor…
Analysis of Complex Dynamical Behavior as a Temporal Network
Lecturer: Prof. Tohru Ikeguchi, Tokyo University of Science
Biography:
Professor Tohru Ikeguchi received B.E., M.E., and Doctor…
👍4❤1
📄Graph Machine Learning: An Overview
💥Technical paper
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📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Machine_learning
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Graph #Machine_learning
Medium
Graph Machine Learning: An Overview
Key concepts for getting started
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