Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation
Summary
Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation is a scholarly article[1].
Key Facts
Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-layer-information-fusion-based-on-graph-convolutional-network-for-knowledge-driven-herb-recommendation
MLA“Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-layer-information-fusion-based-on-graph-convolutional-network-for-knowledge-driven-herb-recommendation.
BibTeX@misc{4ortxyz_multi-layer-information-fusion-based-on-graph-convolutional-network-for-knowledge-driven-herb-recommendation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation}}, year = {2026}, url = {https://4ort.xyz/entity/multi-layer-information-fusion-based-on-graph-convolutional-network-for-knowledge-driven-herb-recommendation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation — https://4ort.xyz/entity/multi-layer-information-fusion-based-on-graph-convolutional-network-for-knowledge-driven-herb-recommendation (retrieved 2026-05-24)
