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). An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-attention-based-spatiotemporal-gated-recurrent-unit-network-for-point-of-interest-recommendation
MLA“An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-attention-based-spatiotemporal-gated-recurrent-unit-network-for-point-of-interest-recommendation.
BibTeX@misc{4ortxyz_an-attention-based-spatiotemporal-gated-recurrent-unit-network-for-point-of-interest-recommendation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation}}, year = {2026}, url = {https://4ort.xyz/entity/an-attention-based-spatiotemporal-gated-recurrent-unit-network-for-point-of-interest-recommendation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation — https://4ort.xyz/entity/an-attention-based-spatiotemporal-gated-recurrent-unit-network-for-point-of-interest-recommendation (retrieved 2026-05-24)
