Home ›
Entities
› academia
› FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records
FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records
FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records
Summary
FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records is a scholarly article[1].
Key Facts
FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records. Retrieved May 24, 2026, from https://4ort.xyz/entity/faircare-adversarial-training-of-a-heterogeneous-graph-neural-network-with-attention-mechanism-to-learn-fair-representat
MLA“FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/faircare-adversarial-training-of-a-heterogeneous-graph-neural-network-with-attention-mechanism-to-learn-fair-representat.
BibTeX@misc{4ortxyz_faircare-adversarial-training-of-a-heterogeneous-graph-neural-network-with-attention-mechanism-to-learn-fair-representat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records}}, year = {2026}, url = {https://4ort.xyz/entity/faircare-adversarial-training-of-a-heterogeneous-graph-neural-network-with-attention-mechanism-to-learn-fair-representat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FairCare: Adversarial training of a heterogeneous graph neural network with attention mechanism to learn fair representations of electronic health records — https://4ort.xyz/entity/faircare-adversarial-training-of-a-heterogeneous-graph-neural-network-with-attention-mechanism-to-learn-fair-representat (retrieved 2026-05-24)
