Individual treatment effect estimation under high-order interference in hypergraphs
US11710139B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 28, 2022 |
| Grant date | Jul 25, 2023 |
| Priority date | — |
| Expiry date | Feb 28, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A computing system, computer-readable storage medium, and method for individual treatment effect (ITE) estimation under high-order interference in hypergraphs are described herein. The method includes accessing, via a processor, a hypergraph dataset including multi-way interactions among nodes within each hyperedge of a corresponding hypergraph, where the hypergraph dataset corresponds to a treatment assignment for each node. The method includes performing representation learning on the hypergraph dataset to control for confounders corresponding to features of each node and to learn a confounder representation for each node. The method also includes modeling a high-order interference representation for each node by propagating the learned confounder representation and the treatment assignment for each node through a hypergraph neural network. The method further includes estimating the ITE for each node under the treatment assignment based on the learned confounder representation and the modeled high-order interference representation for each node.
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