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graphlink

Project based on High Performance Graph Analytics

*Cluster visualization and Clustering modularity scores are calculated for partitions created by parallel running k-means

*Applications are discussed and Performance is evaluated to compare with traditional k-means algorithms

Steps to run on env

  1. srun -p gpu -A general --gpus-per-node 1 --pty bash
  2. module avail deeplearning
  3. module load deeplearning

Run main file python main.py

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Library with parallel implementations of clustering algorithms

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