tm1966

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google colaboratory network analysis python networkx graph neural networks sir model covid-19 network science representation learning network graph deep learning influence maximization centrality friendship paradox epidemics basic reproduction number multilayer networks complex networks network embedding gnn networks 20160901jwein epidemiology open campus 2023 tokyo institute of technology grl+ machine learning community detection betweenness centrality closeness centrality pagerank eigenvector centrality degree centrality pytorch geometric graphsage gcn chebnet spatial graph convolution spectral graph convolution graph embedding ndlib

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tm1966

Presentations

20140925 multilayernetworks

20160901 jwein

Introduction of network analysis with Google Colaboratory -- Orientation

Introduction of network analysis with Google Colaboratory -- Introduction of Google Colaboratory

Introduction of network analysis with Google Colaboratory -- Example of Network Analysis and Visualization

Introduction of network analysis with Google Colaboratory -- Network Metrics

Introduction of network analysis with Google Colaboratory -- Network Algorithms

Introduction of network analysis with Google Colaboratory -- Network Models

Introduction of network analysis with Google Colaboratory -- Diffusion in Networks

Structural data analysis based on multilayer networks

20191107 deeplearningapproachesfornetworks

Networks, Deep Learning (and COVID-19)

Network analysis and visualization by Google Colaboratory

Graph Neural Networks

友人関係と感染症伝搬をネットワークで理解する

Networks, Deep Learning and COVID-19

情報理工学院情報工学系村田研究室.pptx