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). SGA-Net: A Sparse Graph Attention Network for Two-View Correspondence Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/sga-net-a-sparse-graph-attention-network-for-two-view-correspondence-learning
MLA“SGA-Net: A Sparse Graph Attention Network for Two-View Correspondence Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sga-net-a-sparse-graph-attention-network-for-two-view-correspondence-learning.
BibTeX@misc{4ortxyz_sga-net-a-sparse-graph-attention-network-for-two-view-correspondence-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SGA-Net: A Sparse Graph Attention Network for Two-View Correspondence Learning}}, year = {2026}, url = {https://4ort.xyz/entity/sga-net-a-sparse-graph-attention-network-for-two-view-correspondence-learning}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SGA-Net: A Sparse Graph Attention Network for Two-View Correspondence Learning — https://4ort.xyz/entity/sga-net-a-sparse-graph-attention-network-for-two-view-correspondence-learning (retrieved 2026-05-24)