Home ›
Entities
› academia
› Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest
Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest
Research article (ISPRS International Journal of Geo-Information, 2021) · cited 43× · AI/ML
Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest
Summary
Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest is a scholarly article[1].
Key Facts
Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest. Retrieved May 24, 2026, from https://4ort.xyz/entity/block2vec-an-approach-for-identifying-urban-functional-regions-by-integrating-sentence-embedding-model-and-points-of-int
MLA“Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/block2vec-an-approach-for-identifying-urban-functional-regions-by-integrating-sentence-embedding-model-and-points-of-int.
BibTeX@misc{4ortxyz_block2vec-an-approach-for-identifying-urban-functional-regions-by-integrating-sentence-embedding-model-and-points-of-int_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest}}, year = {2026}, url = {https://4ort.xyz/entity/block2vec-an-approach-for-identifying-urban-functional-regions-by-integrating-sentence-embedding-model-and-points-of-int}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest — https://4ort.xyz/entity/block2vec-an-approach-for-identifying-urban-functional-regions-by-integrating-sentence-embedding-model-and-points-of-int (retrieved 2026-05-24)
