Grapa: Graph Autoencoder made easy!¶
A simple python3 library using keras and tensorflow to do Deep Learning on Graphs, with a strong emphasis on Codes that chance the Shape of the Graph in a way that can be used for Autoencoder
We split our Code into two different Apis: a low level Layer Api, and a high Level Functional Api. We also provide 5 different example Applications to get you started using grapa as fast as possible.
Contents:
- getting started
- Indices and tables
- Layer Api
- gadd1
- gaddbias
- gaddzeros
- gbrokengrowth
- glbuilder
- gchooseparam
- gcomdensediverge
- gcomdensemerge
- gcomdepoollg
- gcomdepoolplus
- gcomdepool
- gcomdex
- gcomdiagraph
- gcomextractdiag
- gcomfullyconnected
- gcomgpool
- gcomgraphand2
- gcomgraphand
- gcomgraphcombinations
- gcomgraphcutter
- gcomgraphfrom2param
- gcomgraphfromparam
- gcomgraphlevel
- gcomgraphlevel
- gcomjpool
- gcomparamcombinations
- gcomparamlevel
- gcomparastract
- gcompoolmerge
- gcompool
- gcomreopool
- gcutparam
- gcutter
- gecutter
- gfeatkeep
- gfeat
- gfromparam
- ggoparam
- ggraphstract
- ghealparam
- gkeepbuilder
- gkeepcutter
- gkeepmatcut
- glacreate
- glam
- glacreate
- gliam
- glim
- glkeep
- glmlp
- glm
- glom
- gl
- gltknd
- gltk
- gltrivmlp
- gmake1graph
- gmultiply
- gortho
- gpartinorm
- gperm
- gpoolgrowth
- gpool
- gpre1
- gpre2
- gpre3
- gpre4
- gpre5
- gremoveparam
- gshuffle
- gssort
- gsym
- gtbuilder
- gtlbuilder
- gtopk
- gvaluation
- multidense
- norm
- prep
- Indices and tables
- Functional Api
- Indices and tables