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.
APA4ort.xyz Knowledge Graph. (2026). GACaps-HTC: graph attention capsule network for hierarchical text classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/gacaps-htc-graph-attention-capsule-network-for-hierarchical-text-classification
MLA“GACaps-HTC: graph attention capsule network for hierarchical text classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gacaps-htc-graph-attention-capsule-network-for-hierarchical-text-classification.
BibTeX@misc{4ortxyz_gacaps-htc-graph-attention-capsule-network-for-hierarchical-text-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GACaps-HTC: graph attention capsule network for hierarchical text classification}}, year = {2026}, url = {https://4ort.xyz/entity/gacaps-htc-graph-attention-capsule-network-for-hierarchical-text-classification}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GACaps-HTC: graph attention capsule network for hierarchical text classification — https://4ort.xyz/entity/gacaps-htc-graph-attention-capsule-network-for-hierarchical-text-classification (retrieved 2026-05-24)
