Advanced Coarsening Schemes for Graph Partitioning - Ilya ... - KIT

More documents

Recommendations

Info

Modified Algorithm Likelihood for v ∈ V if v ∈ C then Pv,v = 1 else ... ... if no such edge then move v to C restrict to at most two strongest connections → sparsity avoid overloaded vertices 18 Ilya Safro, Peter Sanders, Christian Schulz: Advanced Coarsening Schemes for Graph Partititoning Department of Informatics Institute for Theoretical Computer Science, Algorithmics II
Modified Algorithm Likelihood for v ∈ V N c v ← selected C-nodes Pv,c ← 1/ρvc ∑ k∈N c v 1/ρ vk , c ∈ N c v restrict to at most two strongest connections → sparsity avoid overloaded vertices 18 Ilya Safro, Peter Sanders, Christian Schulz: Advanced Coarsening Schemes for Graph Partititoning Department of Informatics Institute for Theoretical Computer Science, Algorithmics II
Page 1 and 2: 1 Advanced Coarsening Schemes for G
Page 3 and 4: Motivation Social Networks SNWs are
Page 5 and 6: Motivation Social Networks Graph Pa
Page 7 and 8: Multi-Level Graph Partitioning Succ
Page 9 and 10: Algebraic Distance Relaxation Proce
Page 11 and 12: Algebraic Distance Example - random
Page 13 and 14: Stationary iterative relaxation rew
Page 15 and 16: Stationary iterative relaxation rew
Page 17 and 18: Coarse Nodes C-points Selection fin
Page 19 and 20: Coarse Nodes classical AMG interpol
Page 21 and 22: Coarse Nodes modified AMG interpola
Page 23 and 24: Modified Algorithm Likelihood for v
Page 25: Modified Algorithm Likelihood for v
Page 29 and 30: Experimental Results Social Network
Page 31 and 32: Experimental Results Potentially Ha
Page 33 and 34: Conclusion Experiments algebraic di

Advanced Coarsening Schemes for Graph Partitioning - Ilya ... - KIT

Create successful ePaper yourself

Delete template?

Save as template?