项目文件夹

文件

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Chao Ma 6731ea3af7 [KVStore] Reduce memory cost of kvstore (#1156 )

* API change of kvstore

* add demo for kvstore

* update

* remove duplicated log

* change queue size

* update

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* fix lint

* change name

* update

* fix lint

* update

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* change message queue size to a python argument

* change default queue size to 2GB

* OMP_NUM_THREADS=1

* add multiple NICs support for kvstore

* test

* fix lint

* update

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* fix lint

* fix lint

* update

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* fix lint

2019-12-30 20:25:32 +08:00

appnp

[NN] nn modules & examples update (#890 )

2019-11-03 17:29:42 -05:00

dis_kvstore

[KVStore] Reduce memory cost of kvstore (#1156 )

2019-12-30 20:25:32 +08:00

gat

[Hotfix] Fix GAT example and clarify the usage of early stop (#1065 )

2019-11-30 23:43:15 +08:00

gcmc

[Model][Hetero] GCMC using new hetero APIs (#860 )

2019-09-26 17:50:38 -04:00

gcn

[NN] nn modules & examples update (#890 )

2019-11-03 17:29:42 -05:00

gin

[NN] nn modules & examples update (#890 )

2019-11-03 17:29:42 -05:00

graphsage

[NN] nn modules & examples update (#890 )

2019-11-03 17:29:42 -05:00

monet

hotfix (#971 )

2019-11-04 12:11:53 +08:00

rgcn

[NN] RGCN modules (#744 )

2019-08-23 16:38:48 -04:00

sampling

[Small Fix] Change default message queue size of communicator to 2GB (#1140 )

2019-12-25 17:03:52 +08:00

sgc

[NN] nn modules & examples update (#890 )

2019-11-03 17:29:42 -05:00

sse

[Examples] Run all the examples (#623 )

2019-06-09 00:26:13 -04:00

tagcn

[Bug Fix] Fix package reliability bug of networkx (#949 )

2019-10-29 23:34:31 -04:00

tree_lstm

[Examples] Run all the examples (#623 )

2019-06-09 00:26:13 -04:00

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