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). GIS partial discharge pattern recognition via a novel capsule deep graph convolutional network. Retrieved May 24, 2026, from https://4ort.xyz/entity/gis-partial-discharge-pattern-recognition-via-a-novel-capsule-deep-graph-convolutional-network
MLA“GIS partial discharge pattern recognition via a novel capsule deep graph convolutional network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gis-partial-discharge-pattern-recognition-via-a-novel-capsule-deep-graph-convolutional-network.
BibTeX@misc{4ortxyz_gis-partial-discharge-pattern-recognition-via-a-novel-capsule-deep-graph-convolutional-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GIS partial discharge pattern recognition via a novel capsule deep graph convolutional network}}, year = {2026}, url = {https://4ort.xyz/entity/gis-partial-discharge-pattern-recognition-via-a-novel-capsule-deep-graph-convolutional-network}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GIS partial discharge pattern recognition via a novel capsule deep graph convolutional network — https://4ort.xyz/entity/gis-partial-discharge-pattern-recognition-via-a-novel-capsule-deep-graph-convolutional-network (retrieved 2026-05-24)
