4ddd477f35
[Model] GraphSAGE inductive example ( #1741 )
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* graphsage inductive example
* fix
2020-07-03 11:32:06 +08:00
dc0432e737
[Model] Unsupervised learning with GraphSAGE ( #1440 )
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* unsupervised graphsage first commit
* fix
* disable remove_edges and still got 0.90 performance
* optimize edgeids with multimap
* change hyperparams
* update README
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2020-04-28 17:19:33 +08:00
97bb85d505
[Model] GraphSAGE with control variate sampling on new sampler ( #1355 )
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* control variate first commit
* bug fixes
* split to single and multi GPU
* update readme
* bugfix
* bugfix
* remove push
* bugfix on multi gpu
* update README
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com >
2020-04-26 22:06:21 +08:00
d876680a36
[Model][Perf] Improve sage sampling performance ( #1364 )
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* improve speed
* fix bugs
* upd reg test
2020-03-15 23:20:30 +08:00
650f6ee1e0
[NN] Add commonly used GNN models from examples to dgl.nn modules. ( #748 )
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* gat
* upd
* upd sage
* upd
* upd
* upd
* upd
* upd
* add gmmconv
* upd ggnn
* upd
* upd
* upd
* upd
* add citation examples
* add README
* fix cheb
* improve doc
* formula
* upd
* trigger
* lint
* lint
* upd
* add test for transform
* add test
* check
* upd
* improve doc
* shape check
* upd
* densechebconv, currently not correct (?)
* fix cheb
* fix
* upd
* upd sgc-reddit
* upd
* trigger
2019-08-27 18:21:19 +08:00
f99725adbc
all demo use python-3 ( #555 )
2019-05-23 10:38:05 +08:00
8c750170e8
[Model][Pytorch] GraphSAGE ( #403 )
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* simple implemention of GraphSAGE
* update the abstract method and `torch.nn` modules are more utilized
2019-02-22 15:48:53 -05:00
Quan (Andy) Gan