dmlc--dgl
9737b2700f
* init * rm data * README * fix rating values that are not decimal * rm stale codes * small fix * upd * rewrite decoder * fix many * many fix; performance matched * upd; handle sparse input * upd * address comments * more docstring; download data automatically * shared param mode
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