Add RetailHero and MovieLens25 bipartite datasets with causal parameters
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Codecov ReportAll modified and coverable lines are covered by tests ✅
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rusty1s
changed the title
RetailHero and MovieLens25 bipartite datasets with causal parameters
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Since there 's been some time can I ask, I am not sure if I should make any corrections e.g. for the changelog and typehints, or I should first wait for the CR. Are these checks blocking the CR? |
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I would like to add two new bipartite networks in PyG.
One is based on the RetailHero (https://ods.ai/competitions/x5-retailhero-uplift-modeling/data) (users-buy-products) with causal outcomes and interventions from a marketing campaign, and the other is based on MovieLens25 (https://grouplens.org/datasets/movielens/25m/) (movies-ratedby-users) with observational causal parameters .
I use them to test a GNN for causal outcome prediction in https://hal.science/hal-04601553/document ( ECMLPKDD 2024 ) and I believe they re useful for this line of research.