GraphCL
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[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
Hello, first of all, thank you for a job well done. I have a question about GraphCL, which is the Subgraph part of the data enhancement, and I think there's...
Hello, may I ask whether the various hyperparameter Settings in the unsupervised experiment section of your paper have been published? I didn't find it in the unsupervised_TU
@yyou1996 Hi! I've repeated the experiment of transfer learning using bio dataset, runing the finetune.sh by default setting. I get the result about 0.6531 and 0.6507(test easy and hard), while...
In the file execute.py , perhaps you should state the CUDA environment before import torch package. Otherwise, only the default GPU could be used.
hello,@yyou1996, thanks for your great work! I have a question about the GraphCL in transferLearning_MoleculeNet_PPI/chem.When I run the code,the loss of each epoch is negative number. I wonder if I...
Hi @yyou1996, thanks for your great work. Just have a question about the GraphCL for node classification in unsupervised_Cora_Citeseer. The default batch_size is set to 1. How do you generate...
When i run go.sh with dataset except "NCI1", "PROTEINS", "DD", "MUTAG" i got log like this. Please let me know how to figure out this problem thank you 
Hi, @yyou1996. Thanks for your excellent work! I have a question about the similarity changes when I run the unsupervised_TU codes: First, as I run gsimclr.py with COLLAB dataset, I...
================ lr: 0.01 num_features: 89 hidden_dim: 32 num_gc_layers: 3 ================ Traceback (most recent call last): File "gsimclr.py", line 188, in emb, y = model.encoder.get_embeddings(dataloader_eval) File "/home/m10915046/GraphCL/unsupervised_TU/gin.py", line 76, in get_embeddings...
I have run the command `python gsimclr.py --DS github_stargazers --lr 0.01 --local --num-gc-layers 3 --aug dnodes --seed 0` but got an error. The detailed report are listed as follows. ================...