MIPA-ResGCN: a multi-input part attention enhanced residual graph convolutional framework for sign language recognition
Summary
MIPA-ResGCN: a multi-input part attention enhanced residual graph convolutional framework for sign language recognition is a scholarly article[1].
Key Facts
MIPA-ResGCN: a multi-input part attention enhanced residual graph convolutional framework for sign language recognition'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). MIPA-ResGCN: a multi-input part attention enhanced residual graph convolutional framework for sign language recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/mipa-resgcn-a-multi-input-part-attention-enhanced-residual-graph-convolutional-framework-for-sign-language-recognition
MLA“MIPA-ResGCN: a multi-input part attention enhanced residual graph convolutional framework for sign language recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mipa-resgcn-a-multi-input-part-attention-enhanced-residual-graph-convolutional-framework-for-sign-language-recognition.
BibTeX@misc{4ortxyz_mipa-resgcn-a-multi-input-part-attention-enhanced-residual-graph-convolutional-framework-for-sign-language-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MIPA-ResGCN: a multi-input part attention enhanced residual graph convolutional framework for sign language recognition}}, year = {2026}, url = {https://4ort.xyz/entity/mipa-resgcn-a-multi-input-part-attention-enhanced-residual-graph-convolutional-framework-for-sign-language-recognition}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MIPA-ResGCN: a multi-input part attention enhanced residual graph convolutional framework for sign language recognition — https://4ort.xyz/entity/mipa-resgcn-a-multi-input-part-attention-enhanced-residual-graph-convolutional-framework-for-sign-language-recognition (retrieved 2026-05-24)