GATBoost: Mining graph attention networks-based important substructures of polymers for a better property prediction

Research article (Materials Today Communications, 2023) · cited 15× · AI/ML
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GATBoost: Mining graph attention networks-based important substructures of polymers for a better property prediction

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GATBoost: Mining graph attention networks-based important substructures of polymers for a better property prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). GATBoost: Mining graph attention networks-based important substructures of polymers for a better property prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/gatboost-mining-graph-attention-networks-based-important-substructures-of-polymers-for-a-better-property-prediction
MLA “GATBoost: Mining graph attention networks-based important substructures of polymers for a better property prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gatboost-mining-graph-attention-networks-based-important-substructures-of-polymers-for-a-better-property-prediction.
BibTeX @misc{4ortxyz_gatboost-mining-graph-attention-networks-based-important-substructures-of-polymers-for-a-better-property-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GATBoost: Mining graph attention networks-based important substructures of polymers for a better property prediction}}, year = {2026}, url = {https://4ort.xyz/entity/gatboost-mining-graph-attention-networks-based-important-substructures-of-polymers-for-a-better-property-prediction}, note = {Accessed: 2026-05-24}}
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