Graph Analysis From Scratch

Last update: Sep 17, 2022

Overview

Graph Analysis From Scratch

Goal

In this notebook we wanted to implement some functionalities to analyze a weighted graph only by using algorithms implemented from scratch. In the functionalities are also embedded plots to visualize the results.

Overwiev

Building the graphs
Overall informations of a graph
Centrality measures (Beetweenness, Degree Centrality, Closeness, Page Rank)
Shortest paths (Djikstra)
Cutting a graph (BFS, DFS, Ford-Fulkersson)

Content

graphAnalysis.ipynb is the main notebook
functions.py contains all the functions to analyze the graph and plot the results

Resources

All the necessary data can be found at the following link:

https://www.dropbox.com/sh/auwn7v141dajsuj/AAAG1Y1CvxCOpEMSnAFBECWCa?dl=0

Owner

Arturo Ghinassi

I know more Computer Science than a Statistician and more Statistics than a Computer Scientist

GitHub Repository

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Graph Analysis From Scratch

Related tags

Overview

Graph Analysis From Scratch

Goal

Overwiev

Content

Resources

Owner

Arturo Ghinassi

[ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization

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