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Dual-View Graph Contrastive Learning for Recommendation

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Dual-View Graph Contrastive Learning for Recommendation

DVGCL

Environment

python == 3.12.4
pytorch == 2.4.1 (cuda:12.4)
torch-sparse == 0.6.18
scipy == 1.13.1
numpy == 1.26.4

Examples to run the codes

We adopt three widely used large-scale recommendation datasets: Gowalla, Amazon-Book, and Tmall. The following are examples of runs on three datasets:

  • Gowalla:

    python main.py --dataset gowalla

  • Amazon-Book:

    python main.py --dataset amazon

  • Tmall:

    python main.py --dataset tmall

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Dual-View Graph Contrastive Learning for Recommendation

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