Add bipartite GraphSAGE example
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rusty1s
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GraphSAGE example
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This PR adds an example implementation of a recommendation model bipartite Graphsage. The current implementation is a supervised version on MovieLens. The i2i co-occurrence matrix is applied to construct i2i-graph. When applying Graphsage, the model follows i-i-i pattern to encode item embedding and i-i-u for user-side respectively. Since the task to predict u2i rates is supervised, we apply MSE loss with labels. For next step, we will apply this model to an unsupervised task on another dataset with negative sampling and triplet loss. Co-authored-by: 胡树弦 <[email protected]> Co-authored-by: huxleyhu <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: huxleyhu <[email protected]> Co-authored-by: Matthias Fey <[email protected]>
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This PR adds an example implementation of a recommendation model bipartite Graphsage.
The current implementation is a supervised version on MovieLens. The i2i co-occurrence matrix is applied to construct i2i-graph. When applying Graphsage, the model follows i-i-i pattern to encode item embedding and i-i-u for user-side respectively. Since the task to predict u2i rates is supervised, we apply MSE loss with labels.
For next step, we will apply this model to an unsupervised task on another dataset with negative sampling and triplet loss.