Rajjaa / GraphWorld

Practice on Graph Mining and Network Science

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GraphWorld

Practice on Graph Mining and Network Science

Algorithms

  • Representation Learning on Graph
    • Node2Vec
    • Graph Isomorphism Network
  • Influence
    • SIR Model
    • Local Grapvity Model
    • DeepInf GNN Model

Data

DataSet Description Statistics Usage
Facebook Sampled friendship network of Facebook. 4,039 nodes and 88,234 edges Link Prediction
Arxiv collaboration network generated from arXiv. 18,722 nodes and 198,110 edges Link Prediction
BlogCatalog social relationships of the bloggers listed on the BlogCatalog with Labels on node. 10,312 nodes, 333,983 edges, and 39 different labels Node Classification
USAir a network of US Air lines 332 nodes and 2,126 edges Link Prediction
Lyb social network of teleplay named 'Nirvana In Fire' 40 nodes and 129 edges Community Detection
IMDBBINARY a movie collaboration dataset in ego-network format 100 graphs and 2 classes Graph Classification
MUTAG a bioinformatics networks 188 graphs and 2 classes Graph Classification
PTC a chemical networks 344 graphs and 2 classes Graph Classification
twitter Social circles from Twitter 81,306 nodes and 1,342,310 edges Link Prediction

About

Practice on Graph Mining and Network Science


Languages

Language:Python 98.3%Language:E 1.2%Language:Verilog 0.4%