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). GWS-Geo: A graph neural network based model for street-level IPv6 geolocation. Retrieved May 24, 2026, from https://4ort.xyz/entity/gws-geo-a-graph-neural-network-based-model-for-street-level-ipv6-geolocation
MLA“GWS-Geo: A graph neural network based model for street-level IPv6 geolocation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gws-geo-a-graph-neural-network-based-model-for-street-level-ipv6-geolocation.
BibTeX@misc{4ortxyz_gws-geo-a-graph-neural-network-based-model-for-street-level-ipv6-geolocation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GWS-Geo: A graph neural network based model for street-level IPv6 geolocation}}, year = {2026}, url = {https://4ort.xyz/entity/gws-geo-a-graph-neural-network-based-model-for-street-level-ipv6-geolocation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GWS-Geo: A graph neural network based model for street-level IPv6 geolocation — https://4ort.xyz/entity/gws-geo-a-graph-neural-network-based-model-for-street-level-ipv6-geolocation (retrieved 2026-05-24)
