Datasets:
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Download graph_emb/README.md from PIIR/KGD-dataset: direct link, hf CLI and curl.
- Browser
- Download file 534 Bytes
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https://huggingface.co/datasets/PIIR/KGD-dataset/resolve/main/graph_emb/README.md
- Command line
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hf download hf://datasets/PIIR/KGD-dataset/graph_emb/README.md
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curl -L -o README.md https://huggingface.co/datasets/PIIR/KGD-dataset/resolve/main/graph_emb/README.md
534 Bytes
Graph Embeddings for the Collaborative Axis of KGD-BMTP
The collaborative axis uses embeddings learned from a user-item graph with the following configuration:
Embedding model: LightGCN [1]
Embedding dimension: 256
Nodes: Drawn from the full corpus.
Edges: Built from interactions in the training split only, preventing train-test leakage.
[1] Xiangnan He, Kuan Deng ,Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang(2020). LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation