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Minjie Wang ca2a7e1ca1 [Refactor] Nodeflow, sampling, CAPI (#430 )

* enable cython

* add helper function and data structure for void_p vector return

* move sampler from graph index to contrib.sampling

* WIP

* WIP

* refactor layer sampling

* pass tests

* fix lint

* fix graphsage

* remove comments

* pickle test

* fix comments

* update dev guide for cython build

2019-03-05 14:07:22 -05:00

gat

[Tutorial] Update prerequisites of README (#380 )

2019-02-11 22:58:17 -05:00

gcn

[WIP] [NN] Refactor NN package (#406 )

2019-02-25 18:41:21 -05:00

rgcn

[Tutorial] Update prerequisites of README (#380 )

2019-02-11 22:58:17 -05:00

sampling

[Refactor] Nodeflow, sampling, CAPI (#430 )

2019-03-05 14:07:22 -05:00

sse

[Sampler] fix the API of neighbor sampler. (#407 )

2019-02-28 13:45:21 -08:00

tree_lstm

[Tutorial] Update prerequisites of README (#380 )

2019-02-11 22:58:17 -05:00

README.md

[Doc] Add readme to mxnet gat (#300 )

2018-12-17 04:36:26 -08:00

util.py

Reorg folders; basic impl of the APIs

2018-06-14 21:37:43 -04:00

README.md

Model Examples using DGL (w/ MXNet backend)

use DGLBACKEND=mxnet to use MXNet as DGL's backend

Examples:

DGLBACKEND=mxnet python gcn_batch.py --dataset cora
DGLBACKEND=mxnet python gat_batch.py --dataset cora

Each model is hosted in their own folders. Please read their README.md to see how to run them.

To understand step-by-step how these models are implemented in DGL. Check out our tutorials