Home › Entities › academia › Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples

Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples

Research article (2023 IEEE International Conference on Data Mining (ICDM), 2023) · cited 19× · AI/ML
academia openalex:W4391528864
Press Enter · cited answer in seconds

Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples

Summary

Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples is a scholarly article[1].

Key Facts

  • Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples's instance of is recorded as scholarly article[2].

Related Entities

Xin Yao

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples. Retrieved May 24, 2026, from https://4ort.xyz/entity/mitigating-multisource-biases-in-graph-neural-networks-via-real-counterfactual-samples
MLA “Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mitigating-multisource-biases-in-graph-neural-networks-via-real-counterfactual-samples.
BibTeX @misc{4ortxyz_mitigating-multisource-biases-in-graph-neural-networks-via-real-counterfactual-samples_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples}}, year = {2026}, url = {https://4ort.xyz/entity/mitigating-multisource-biases-in-graph-neural-networks-via-real-counterfactual-samples}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples — https://4ort.xyz/entity/mitigating-multisource-biases-in-graph-neural-networks-via-real-counterfactual-samples (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/mitigating-multisource-biases-in-graph-neural-networks-via-real-counterfactual-samples · Last refreshed: