Shuang Gao

> Thx for your suggestion!I'm sorry that I may not have made it clear what problems I have.Let me add the information： > The server's free memory is more than...

I also had a try on MetaQA. It seems weird to me because they perform different on the link prediction task, so I thought an embedding with better quality (performing...

Thanks so much for sharing this paper! I thinks it helps a lot to explain! BTW, when training embeddings over the half-version MetaQA KG, I got poor results (~0.12) on...

For example, I used command = 'python3 main.py --dataset MetaQA_half --num_iterations 500 --batch_size 256 ' \ '--lr 0.0005 --dr 1.0 --edim 200 --rdim 200 --input_dropout 0.2 ' \ '--hidden_dropout1 0.3...

> I found your websqp kg embedding file is None, can you supply it? When I run your training embedding code with your KG (relevant your websqp ) . I...

I use the command as below. command = 'python3 main.py --dataset fbwq_full --num_iterations 1500 --batch_size 256 ' \ '--lr 0.0005 --dr 1.0 --edim 200 --rdim 200 --input_dropout 0.2 ' \...

> Can you tell me what's your gpu server, I trained half KG about WebQSP, it consumes my 24059M gpu space and one day but cannot get the result. On...

I got a same problem. With the ComplEx embeddings you provided, the best validation score achieved on MetaQA_full is only 0.717879. I have already unfroze the embeddings.

> Hi @ShuangNYU, > > Nice that you managed to extract the main topics of your own dataset. > > Could you please share your code with us? > >...

Hi Alexander! When using `python preprocess_data.py data/imdb/train.jsonlist data/imdb/processed --vocab_size 5000 --test data/imdb/test.jsonlist`, what should I use for the option '--label' or '--label_dict'? I got an error when using '--label '1,2,3,4'...