GitHub / LFhase / CIGA
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
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PURL: pkg:github/LFhase/CIGA
Stars: 94
Forks: 9
Open issues: 0
License: mit
Language: Python
Size: 618 KB
Dependencies parsed at: Pending
Created at: almost 3 years ago
Updated at: about 1 year ago
Pushed at: almost 2 years ago
Last synced at: about 1 year ago
Topics: causal-inference, causal-representation-learning, distribution-shift, drug-discovery, graph-neural-networks, graph-representation-learning, invariant-learning, out-of-distribution-generalization