LiuHao-THU

here is a link for NCF BPR and NFM https://github.com/guoyang9/NCF https://github.com/guoyang9/BPR-pytorch https://github.com/guoyang9/NFM-pyorch the scores are exactly the same even higher than origin papers!

> Please set `dist_strategy.without_graph_optimization = True` and use the paddle development branch. thanks for reply, I tried the demo, now the multiple version runs smoothly, however in my situation, the...

> Please set `dist_strategy.without_graph_optimization = True` and use the paddle development branch. in my situation, i just replace the sparse embedding part, the code didn’t run, here is the code....

redis.exceptions.Connectionerror: error 110 connection to localhost:1234 connection timed out

Solutions: https://www.jianshu.com/p/e99c722f6361

> Some of the distributed demos in legacy are supported with PaddlePaddle We are working on migrating the old distributed demos to PaddlePaddle>=2.0 and PGL >= 2.1 in dynamic computation...

so can I explore the metapath2vec in the newest version of PGL? when would you provide distributed demos for metapath2vec based on 2.0.0+? thanks

> > so can I explore the metapath2vec in the newest version of PGL? > > Feel free to do it. > > > when would you provide distributed demos...

> > > > so can I explore the metapath2vec in the newest version of PGL? > > > > > > > > > Feel free to do it....

> > https://github.com/PaddlePaddle/PGL/blob/main/examples/deepwalk/train_distributed_cpu.py > > In the 2.0.0 example, the example seems not dist embedding. > > https://github.com/PaddlePaddle/PGL/blob/387d77cb9940fc3e1ed2a00af0bdb518550f91a2/legacy/examples/distribute_metapath2vec/model.py#L58 > > > > however, in the preview version, the embedding is...