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[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

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What is the purpose of testing and recording accuracy every 100 rounds during training? Isn't the pre-training process an unsupervised process? According to the DGI paper and code implementation, DGI...

Hi, thanks for reading this! When I reproduce the results of WikiCS by the provided hyperparameters and code (nothing changed), I cannot reproduce the results shown in the paper, i.e.,...

drop weightis is computed according to the folllowing codes in pGRACE/functional.py : `def pr_drop_weights(edge_index, aggr: str = 'sink', k: int = 10): pv = compute_pr(edge_index, k=k) pv_row = pv[edge_index[0]].to(torch.float32) pv_col...

Sorry to bother you, I am confused that why edge_weights divided by edge_weights.mean()? `def drop_edge_weighted(edge_index, edge_weights, p: float, threshold: float = 1.):` ` edge_weights = edge_weights / edge_weights.mean() * p`...

Thanks for your awesome work! Could you please offer the requirement.txt or environment.yml for convenient installation?

dear authors, I am a new student in UCAS, I want to understand and study the baseline experiment code, could you please offer me this part of code.

I wonder if the loss function in the paper was first proposed by you? Thank you very much!