A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion

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A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion

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A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-graph-neural-network-based-stock-forecasting-method-utilizing-multi-source-heterogeneous-data-fusion
MLA “A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-graph-neural-network-based-stock-forecasting-method-utilizing-multi-source-heterogeneous-data-fusion.
BibTeX @misc{4ortxyz_a-graph-neural-network-based-stock-forecasting-method-utilizing-multi-source-heterogeneous-data-fusion_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion}}, year = {2026}, url = {https://4ort.xyz/entity/a-graph-neural-network-based-stock-forecasting-method-utilizing-multi-source-heterogeneous-data-fusion}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A graph neural network-based stock forecasting method utilizing multi-source heterogeneous data fusion — https://4ort.xyz/entity/a-graph-neural-network-based-stock-forecasting-method-utilizing-multi-source-heterogeneous-data-fusion (retrieved 2026-05-24)

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