Skip to content

We present a fast tensor-based approach for detecting hidden overlapping communities under the Mixed Membership Stochastic Blockmodel (MMSB). We present two implementations, viz., a GPU-based implementation which exploits the parallelism of SIMD architectures and a CPU-based implementation for larger datasets, wherein the GPU memory does not suf…

License

Notifications You must be signed in to change notification settings

mapleyustat/Fast-Detection-of-Overlapping-Communities-via-Online-Tensor-Methods

Repository files navigation

Fast-Detection-of-Overlapping-Communities-via-Online-Tensor-Methods

We present a fast tensor-based approach for detecting hidden overlapping communities under the Mixed Membership Stochastic Block Model (MMSB). We present two implementations, viz., a GPU-based implementation which exploits the parallelism of SIMD architectures and a CPU-based implementation for larger datasets, wherein the GPU memory does not suffice.

About

We present a fast tensor-based approach for detecting hidden overlapping communities under the Mixed Membership Stochastic Blockmodel (MMSB). We present two implementations, viz., a GPU-based implementation which exploits the parallelism of SIMD architectures and a CPU-based implementation for larger datasets, wherein the GPU memory does not suf…

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages