Home › Entities › academia › FGNet: Feature Engineering-Guided Attentive Graph Neural Network for SOH Estimation of Lithium Battery

FGNet: Feature Engineering-Guided Attentive Graph Neural Network for SOH Estimation of Lithium Battery

Research article (IEEE Transactions on Transportation Electrification, 2024) · cited 15× · AI/ML
academia openalex:W4404102599
Press Enter · cited answer in seconds

FGNet: Feature Engineering-Guided Attentive Graph Neural Network for SOH Estimation of Lithium Battery

Summary

FGNet: Feature Engineering-Guided Attentive Graph Neural Network for SOH Estimation of Lithium Battery is a scholarly article[1].

Key Facts

  • FGNet: Feature Engineering-Guided Attentive Graph Neural Network for SOH Estimation of Lithium Battery's instance of is recorded as scholarly article[2].

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). FGNet: Feature Engineering-Guided Attentive Graph Neural Network for SOH Estimation of Lithium Battery. Retrieved May 24, 2026, from https://4ort.xyz/entity/fgnet-feature-engineering-guided-attentive-graph-neural-network-for-soh-estimation-of-lithium-battery
MLA “FGNet: Feature Engineering-Guided Attentive Graph Neural Network for SOH Estimation of Lithium Battery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fgnet-feature-engineering-guided-attentive-graph-neural-network-for-soh-estimation-of-lithium-battery.
BibTeX @misc{4ortxyz_fgnet-feature-engineering-guided-attentive-graph-neural-network-for-soh-estimation-of-lithium-battery_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FGNet: Feature Engineering-Guided Attentive Graph Neural Network for SOH Estimation of Lithium Battery}}, year = {2026}, url = {https://4ort.xyz/entity/fgnet-feature-engineering-guided-attentive-graph-neural-network-for-soh-estimation-of-lithium-battery}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FGNet: Feature Engineering-Guided Attentive Graph Neural Network for SOH Estimation of Lithium Battery — https://4ort.xyz/entity/fgnet-feature-engineering-guided-attentive-graph-neural-network-for-soh-estimation-of-lithium-battery (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/fgnet-feature-engineering-guided-attentive-graph-neural-network-for-soh-estimation-of-lithium-battery · Last refreshed: