Code of SIGKDD 22 paper "M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning"
This paper proposes to mix multiple samples in one mini-batch to generate hard negative pairs.
To pre-train the encoder on CIFAR-10 and CIFAR-100, run:
python main.py --dataset cifar10 (cifar100) --threshold 0.9
The config --threshold 0.9 is used for selecting negative samples to mix.
For graph and node classification. Run:
python main.py
You should download the dataset by yourself.