LFhase / CIGA

[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

Date Created 2022-10-06 (about a year ago)

Commits 30 (last one 10 months ago)

Stargazers 95 (0 this week)

Watchers 3 (0 this week)

Forks 10

License mit

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RepositoryStats indexes 534,880 repositories, of these LFhase/CIGA is ranked #281,716 (47th percentile) for total stargazers, and #399,187 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #50,987/103,597.

LFhase/CIGA is also tagged with popular topics, for these it's ranked: graph-neural-networks (#260/523), causal-inference (#53/105)

Other Information

Homepage URL: https://arxiv.org/abs/2202.05441

All Topics

drug-discovery causal-inference distribution-shift invariant-learning graph-neural-networks graph-representation-learning causal-representation-learning out-of-distribution-generalization

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updated: 2024-06-20 @ 01:56pm, id: 546551158 / R_kgDOIJO1dg