rguo12 / network-deconfounder-wsdm20

Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

Date Created 2019-12-06 (5 years ago)

Commits 14 (last one 3 years ago)

Stargazers 75 (0 this week)

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RepositoryStats indexes 595,856 repositories, of these rguo12/network-deconfounder-wsdm20 is ranked #357,705 (40th percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #67,583/119,431.

rguo12/network-deconfounder-wsdm20 is also tagged with popular topics, for these it's ranked: graph-neural-networks (#340/592), causal-inference (#68/114), graph-convolutional-networks (#79/111)

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causal-inference treatment-effects causality-algorithms graph-neural-networks causal-machine-learning graph-convolutional-networks

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updated: 2024-12-20 @ 05:15am, id: 226224791 / R_kgDODXvqlw