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Showing posts older than #907 · Back to latest

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Post #906 612
📄Temporal Link Prediction: A Unified Framework, Taxonomy, and Review

🗓Publish year: 2023

📎 Study the paper

📲Channel: @ComplexNetworkAnalysis
#paper #Review #Graph #Link_Prediction
  • 🔥 3
  • 👍 1
Post #901 710
📄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
  • 👍 4
Post #899 653
📄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
  • 👍 4
  • ❤ 1
Post #898 665
📄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
  • 👍 3
Post #897 651
🎞 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
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…
  • 👏 1
Post #896 1.52K
📕Network Analysis: Integrating Social Network Theory, Method, and Application with R

🗓Publish year: 2023

📎 Study the book

📱Channel: @ComplexNetworkAnalysis

#book #Integrating #Method #Application #R
  • 👍 6
Post #895 561
📄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
Post #891 1.22K
📄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
Post #890 623
📄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
Post #889 625
🎞 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.

📽 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
Post #886 537
🎞 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.


📽 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…
Post #883 3.88K
📄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
  • 👍 1
Post #882 1.34K
📄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 .

🌐 Study

📲Channel: @ComplexNetworkAnalysis

#paper #Graph #Gephi #Tutorial
  • 👍 3
Post #881 2.05K
📄Graph Viz: Exploring, Analyzing, and Visualizing Graphs and Networks with Gephi and ChatGPT

💥Technical paper

🌐 Study

📲Channel: @ComplexNetworkAnalysis

#paper #Graph #Gephi #ChatGPT
Open Data Science - Your News Source for AI, Machine Learning & more Graph Viz: Exploring, Analyzing, and Visualizing Graphs and Networks with Gephi and ChatGPT ChatGPT can do a lot with text, but how can it help with data viz? Here, we look at how you can analyze a global AI community using Gephi and ChatGPT.
  • 👍 3
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