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). Attention based simplified deep residual network for citywide crowd flows prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/attention-based-simplified-deep-residual-network-for-citywide-crowd-flows-prediction
MLA“Attention based simplified deep residual network for citywide crowd flows prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/attention-based-simplified-deep-residual-network-for-citywide-crowd-flows-prediction.
BibTeX@misc{4ortxyz_attention-based-simplified-deep-residual-network-for-citywide-crowd-flows-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Attention based simplified deep residual network for citywide crowd flows prediction}}, year = {2026}, url = {https://4ort.xyz/entity/attention-based-simplified-deep-residual-network-for-citywide-crowd-flows-prediction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Attention based simplified deep residual network for citywide crowd flows prediction — https://4ort.xyz/entity/attention-based-simplified-deep-residual-network-for-citywide-crowd-flows-prediction (retrieved 2026-05-24)
