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HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data
Research article (2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2022) · cited 12× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/har-gcnn-deep-graph-cnns-for-human-activity-recognition-from-highly-unlabeled-mobile-sensor-data
MLA“HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/har-gcnn-deep-graph-cnns-for-human-activity-recognition-from-highly-unlabeled-mobile-sensor-data.
BibTeX@misc{4ortxyz_har-gcnn-deep-graph-cnns-for-human-activity-recognition-from-highly-unlabeled-mobile-sensor-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data}}, year = {2026}, url = {https://4ort.xyz/entity/har-gcnn-deep-graph-cnns-for-human-activity-recognition-from-highly-unlabeled-mobile-sensor-data}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data — https://4ort.xyz/entity/har-gcnn-deep-graph-cnns-for-human-activity-recognition-from-highly-unlabeled-mobile-sensor-data (retrieved 2026-05-24)